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Fwd: 2 PhD Positions * Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
by Gary Green 14 Mar '13

14 Mar '13

**2 PhD Positions** * *Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig** The Max Planck Institute for Human Cognitive and Brain Sciences Leipzig and the Collaborative Research Centre “Obesity Mechanisms” at the University Clinic Leipzig are offering 2 PhD studentships in the project “Neurocognitive Models of Behavioural Control in Obesity”. The goal of this project is the development of detailed models of brain functioning with respect to cognitive control mechanisms and their alterations in human obesity using both neurobiological and computational modelling methods. This work combines structural and functional magnetic resonance imaging (MRI) with computational modelling and behavioural assessment. Research will be conducted at the MPI in Leipzig, an internationally leading centre for cognitive neuroscience and neuroimaging. The institute offers a multidisciplinary and international environment with excellent research facilities and infrastructure including a 7T and several 3T MRI scanners. The ideal candidate for position 1 holds a university degree (Masters or equivalent) in Neuroscience, Computer Science, Cognitive Science or similar with focus on computational aspects and has strong interests in the modelling of complex biological systems. Prior experiences in computational modelling and neuroimaging as well as programming skills are of advantage. The ideal candidate for position 2 holds a university degree (Masters or equivalent) in Neurobiology, Cognitive Science, Biology, Psychology or similar and has strong interests in systems neuroscience, neurotransmitter systems and large-scale network physiology. Prior experience in behavioural assessment and neuroimaging are of advantage. A solid background in statistics and proficiency in oral and written English are required for both positions. The positions are available for up to 4 years starting as soon as possible. Salary is based on the German public service regulations (E13/2, TV-L). The call will remain open until the positions are filled. Applications should be sent as a single PDF email attachment (max. 10-15 MB) to application_SFB1052(a)cbs.mpg.de <mailto:application_SFB1052@cbs.mpg.de> quoting reference number “SFB1052”. Complete Applications include cover letter, CV, one letter of reference and copies of university degrees and additional certificates. Please state explicitly which position you wish to be considered for. The MPI and University Clinic Leipzig are equal opportunity employers. Applications from female scientists are particularly encouraged. Handicapped applicants with equal qualification are preferred. Informal inquiries may be made to Dr. Annette Horstmann (horstmann(a)cbs.mpg.de <mailto:horstmann@cbs.mpg.de>) and Dr. Jane Neumann (neumann(a)cbs.mpg.de <mailto:neumann@cbs.mpg.de>). --------------------------------------------------------- Annette Horstmann, PhD Department of Neurology Max-Planck-Institute for Human Cognitive and Brain Sciences & IFB AdiposityDiseases, University Hospital Leipzig Neurocognitive Models of Behavioral Control in Obesity, SFB 1052 Stephanstraße 1A 04103 Leipzig Germany phone +49 (0) 341 99 40 2258 fax +49 (0) 341 99 40 2221 e-mailhorstmann(a)cbs.mpg.de <mailto:horstmann@cbs.mpg.de>

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Fwd: Postdoctoral researcher - University of Cambridge
by Gary Green 14 Mar '13

14 Mar '13

Postdoctoral researcher University of Cambridge, Cam-CAN Research Project, Department of Psychology Vacancy Ref: PJ00953 Salary: £27,854 - £36,298 pa Applications are invited for a 2-year post-doctoral researcher to join the Cambridge Centre for Ageing and Neuroscience (Cam-CAN). This centre brings together a large group of researchers across the University of Cambridge and at the MRC Cognition and Brain Sciences Unit (MRC-CBSU) who aim to relate brain changes to cognitive changes over the adult lifespan (covering ages 18-88). The appointee will work with a unique population-representative sample of 700 adults on whom we have collected extensive cognitive and neural measures. A subset of these individuals will be run in a further set of fMRI and MEG studies designed to probe major cognitive functions. The Cam-CAN project will integrate across these data-sets using a variety of methods, relating changes in neural structure and function over the lifespan to changes in cognitive function and capacity. The role of the postholder will be to continue ongoing analyses of the 700 dataset, carry through the second stage fMRI and MEG studies, and play a key role in integrating the various Cam-CAN cognitive and imaging data-sets using multivariate and multimodal neuroimaging analysis methods. The appointee will be a cognitive neuroscientist with a strong background in imaging and imaging statistics, and cognitive and/or physiological ageing. Candidates should have, or be in the final stages of obtaining, a PhD in cognitive neuroscience, neuroimaging methods, applied statistics or cognitive ageing. Knowledge of and experience in advanced MEG imaging analyses, particularly connectivity analysis is essential, and it would be an advantage to have some experience of fMRI. Excellent statistical, computer programming (MATLAB and/or Python) and MEG analysis (SPM, Fieldtrip) skills are essential. Candidates should be careful, efficient, able to communicate effectively, and enjoy working as part of a diverse and energetic interdisciplinary team. The applicant will be based in the Centre for Speech, Language and the Brain, Department of Psychology. The Centre has access to a research-dedicated 3T Siemens MR scanner, EEG and MEG facilities housed at the MRC Cognition and Brain Sciences Unit in Cambridge. Applications in the form of a covering letter, CV with full publication list, and completed cover sheet (CHRIS/6 Parts 1 and 3 only, including details of three referees) should be sent to Mrs M Dixon at csladmin(a)csl.psychol.cam.ac.uk or by post to Mrs Marie Dixon, Centre for Speech, Language and the Brain, Department of Psychology, University of Cambridge, Downing Street, Cambridge, CB2 3EB. The CHRIS/6 can be downloaded from http://www.admin.cam.ac.uk/offices/hr/forms/chris6/. The Vacancy number for this position is PJ00953. Closing date: 4th April 2013. Start date: to be negotiated but no later than 1 October 2013 Limit of tenure: The funds for this post are available for 2 years. For further details, please see our website at http://www.cam-can.com/vacancies/index.html The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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Fwd: Postdoctoral Research Fellowship - Oslo University Hospital
by Gary Green 14 Mar '13

14 Mar '13

Applications are invited for a Postdoctoral Research Fellow position at the K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway. http://tinyurl.com/postdoc-position The fellow will take a lead role in a study funded by the Research Council of Norway investigating the acute behavioral, cognitive and brain functional (fMRI) effects of oxytocin administration, and is part of an Industry-Academia collaboration. The fellow will also be able to take an active part in several ongoing large-scale multimodal imaging genetics and psychiatry projects coordinated from the K.G. Jebsen Centre. The research will be carried out in a cross-disciplinary team in the MRI and biostatistics groups at the centre, which was recently granted Centre of Excellence Status by the Research Council of Norway, in close collaboration with OptiNose AS, an innovative biomedical company. The ideal candidate will be highly motivated, hold a PhD in psychology, neuroscience, engineering, neuroimaging, medicine or equivalent, have experience in designing and coordinating experimental research involving fMRI, and a strong background in neuroimaging analysis (FSL, FreeSurfer, SPM, Matlab etc). We offer an ambitious and exciting research environment with a strong multidisciplinary profile and excellent opportunities for academic development. A postdoctoral position in Norway is equivalent to the US position of assistant professor and is intended to prepare and qualify candidates for a research career. Salary is in the range between ltr. 57 and ltr 65 (468 400 NOK - 542 900 NOK, roughly USD 81k-95k), depending on qualifications. Pension and national health insurance is included in addition to several attractive welfare arrangements. Please address any informal enquiries to prof Ole A. Andreassen, MD, PhD (o.a.andreassen(a)medisin.uio.no) or assoc prof Lars. T. Westlye, PhD (l.t.westlye(a)psykologi.uio.no). Link to job ad and online application system: https://www.webcruiter.no/WcMain2/advertviewpublic.aspx?oppdragsnr=17166925…

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Fwd: Imaging Research Assistant Position Available
by Gary Green 14 Mar '13

14 Mar '13

Research Assistant Position - Nathan S. Kline Institute for Psychiatric Research (http://www.rfmh.org/nki/) Applications are currently being invited for 2-year research assistant positions available at the Nathan S. Kline Institute (NKI) starting this summer. The NKI makes use of innovative MRI-based imaging approaches to characterize brain maturation across the lifespan, with a particular focus on understanding the impact of psychiatric illnesses on maturational and aging processes (http://fcon_1000.projects.nitrc.org/indi/enhanced/). Additionally, the NKI is dedicated to the support of open-datasharing initiatives, such as the 1000 Functional Connectomes Project and the International Neuroimaging Data-sharing Initiative (INDI; http://fcon_1000.projects.nitrc.org/ ). The NKI fosters a collaborative environment where research assistants have the opportunity to gain excellent clinical and research experience, with the potential for publication. Salary is competitive and benefits include health, vision, and dental. Responsibilities will include MRI scanning, assisting with behavioral and psychiatric assessment, file-handling, scripting (Python, Matlab), imaging quality control and processing, data-analysis, and assisting in coordinating data-sharing initiatives . Applicants should have a B.S. or B.A. in computer sciences, engineering, neuroscience, psychology or other related scientific fields. The ideal candidates will have prior research experience, strong interpersonal skills, strong written and oral communication, and the ability to work as a member of a team as well as independently. Technical skills are a plus, but not required. We are accepting applications and interviewing immediately. Start date: Summer, 2012 Please contact Dr. Michael Milham (mmilham(a)nki.rfmh.org). Please attach a resume or CV, including the names of 3 references, to your inquiry.

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Fwd: POSTDOCTORAL POSITION AVAILABLE
by Gary Green 14 Mar '13

14 Mar '13

POSTDOCTORAL POSITION AVAILABLE AT THE NATHAN KLINE INSTITUTE ============================================================ Applications are currently being invited for a minimum 2-year postdoctoral fellow position available at the Nathan S. Kline Institute (NKI) starting in September, 2013. The NKI makes use of innovative MRI-based imaging approaches to characterize brain maturation across the lifespan, with a particular focus on understanding the impact of psychiatric illnesses on maturational and aging processes (http://fcon_1000.projects.nitrc.org/indi/enhanced/). Additionally, the NKI is dedicated to the support of open-datasharing initiatives, such as the 1000 Functional Connectomes Project and the International Neuroimaging Data-sharing Initiative (INDI; http://fcon_1000.projects.nitrc.org/ ). Salary is competitive and benefits include health, vision, and dental. Candidates should be interested in the application of discovery-science based approaches to the study of human brain function and the characterization of brain development and maturation in clinical and non-clinical populations. The overarching goal of our work is to identify objective imaging-, phenotypic- and genetic-based markers of pathology that will eventually serve to facilitate the detection of psychiatric illness and/or guide clinicians in the selection of treatments and determination of treatment response. The fellow will be expected to take a multidisciplinary approach to their work, drawing from a broad range of disciplines (e.g., clinical psychology, cognitive neuroscience, computer science, engineering, mathematics, neuropsychology). In order to facilitate this process, they will work as part of a multidisciplinary team, integrating findings obtained from a variety of imaging approaches including: resting state functional MRI, simultaneous EEG/fMRI, diffusion tensor imaging, cortical thickness, volumetrics. Qualifications The minimum qualifications for a successful candidate include: - completed PhD in biomedical engineering, electrical engineering, computer, cognitive neuroscience, or related fields; - significant prior neuroimaging experience with functional MRI and/or or EEG - strong skills in usage of one or more common functional neuroimaging (FSL, SPM, AFNI) packages - Programming experience in Python, Matlab, C/C++ or similar platform is a plus Anticipated start date: September, 2013 If interested, please contact me at mmilham(a)nki.rfmh.org

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Fwd: UCLA postdoctoral position
by Gary Green 14 Mar '13

14 Mar '13

An NIH-funded postdoctoral position is available immediately in the UCLA Department of Psychiatry and Biobehavioral Sciences and the Semel Institute for Neuroscience and Human Behavior to study the neural phenotypes associated with emotion regulation and visual perception in disorders of body image. Description: Our lab uses functional and structural neuroimaging (task and resting state fMRI, cortical thickness and volumetric analyses, DTI, and EEG) and physiological experiments to understand psychiatric phenotypes (see http://www.semel.ucla.edu/bdd/current-research). The current project involves elucidating how aberrant brain network and connectivity properties relate to visual perceptual distortions and abnormal emotional regulation in body dysmorphic disorder and anorexia nervosa. We are also employing and developing novel multimodal imaging techniques using advanced computational modeling. UCLA has a wealth of neuroimaging (see http://www.brainmapping.org<http://www.brainmapping.org/>) and clinical resources. You will be joining a productive and collaborative group that utilizes advanced neuroimaging techniques yet is also grounded in a strong clinical understanding of phenomenology of psychiatric populations. The post doc will have the opportunity to take the lead on a project involving functional connectivity and network analysis of emotional regulation, as well as pursue a self-directed project. Requirements: Ph.D. in a neuroscience-related field or psychology, M.D., or M.D./Ph.D. (post residency). We are looking for candidates with experience in the design, collection, and analysis of fMRI data, including statistical analysis software such as FSL, SPM, or others. The successful applicant will be able to function independently, supervise students and research assistants, have excellent verbal and written English skills, computing and programming skills (Matlab, Unix), and a strong aptitude for writing manuscript and grant applications. To apply: please send a letter of interest, C.V., and a research statement (no longer than 2 pages) that describes your past research experience and future goals, and three letters of reference sent in confidence to Dr. Jamie Feusner: jfeusner(a)mednet.ucla.edu ________________________________ IMPORTANT WARNING: This email (and any attachments) is only intended for the use of the person or entity to which it is addressed, and may contain information that is privileged and confidential. You, the recipient, are obligated to maintain it in a safe, secure and confidential manner. Unauthorized redisclosure or failure to maintain confidentiality may subject you to federal and state penalties. If you are not the intended recipient, please immediately notify us by return email, and delete this message from your computer.

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Fwd: Post-Doctoral Position in MR Physics at the Child Mind Institute
by Gary Green 14 Mar '13

14 Mar '13

Post-Doctoral Position in MR Physics at the Child Mind Institute ================================================================ Applications are currently being invited for a Post-Doctoral Fellow position available at the Child Mind Institute. This position reports to Cameron Craddock PhD, Director of Imaging in the Center for the Developing Brain. The Child Mind Institute makes use of innovative MRI- and EEG-based imaging approaches to characterize brain maturation across the lifespan, with a particular focus on understanding the impact of psychiatric illnesses on maturational processes. Additionally, the Child Mind Institute is dedicated to the support of open-datasharing initiatives, such as the International Neuroimaging Datasharing Initiative (http://fcon_1000.projects.nitrc.org/) and Enhanced Nathan Kline Institute Rockland Sample ( http://fcon_1000.projects.nitrc.org/indi/enhanced/). The Child Mind Institute is currently recruiting a post-doctoral fellow with a strong background in Magnetic Resonance (MR) Physics to develop and optimize acquisition strategies for functional MR Imaging. The project¹s overarching goal is to develop novel fMRI experimental paradigms to elucidate mechanisms underlying psychiatric illness in pediatric populations. To this end, we are currently developing scanner software for real-time fMRI, and performing a comprehensive evaluation of low-TR fMRI acquisition strategies. In support of this mission, the fellow will be part of a multidisciplinary team that includes MR physicists, neuroscientists, clinicians and computer scientists. The position is located at CMI headquarters in New York City. This is an exempt, full time position with competitive salary and benefits. Responsibilities: € Develop and implement sequence programs and image reconstruction software on a Siemens 3T TIM Trio. € Develop and maintain software to support real-time fMRI. € Large-scale analysis of fMRI, DTI and structural neuroimaging data. € Author manuscripts and presentations describing accomplished research. € Work in a multidisciplinary environment, drawing from a broad range of disciplines and imaging approaches. € Supervise junior level researchers and graduate students. Qualifications: € PhD in biomedical engineering, electrical engineering, medical physics, physics or related field. € Demonstrated skills in MRI pulse sequence programming and image analysis algorithm development. € Significant prior functional MRI experience. € Proficiency in C/C++ and Matlab programming. € Strong skills in using of one or more common functional neuroimaging packages (e.g., AFNI, FSL, or SPM). € Experience with the Siemens IDEA programming framework (preferred but not required). € Motivated self-starter with great attitude and flexibility. € Ability to work in a fast paced environment. Salary and Anticipated Start Date: Salary is competitive and commensurate with experience/educational qualifications. Benefits include health, vision, and dental. Anticipated Start Date is immediate. Application details: Please send a CV including the names of 3 references with your inquiry to cameron.craddock(a)childmind.org. Employment at Will Relationship: This position description does not constitute a guarantee that employment will continue for any specified period of time. Rather, employment is at the mutual consent of the employee and CMI, and can be terminated at will by the employee or by CMI. CMI reserves the right to modify the job description and/or reporting relationship at any time. CMI is an Equal Opportunity Employer. CMI is committed to recruiting and maintaining a diverse staff; individuals from all backgrounds are strongly encouraged to apply. Cameron Craddock, PhD Director of Imaging Center for the Developing Brain Child Mind Institute childmind.org 445 Park Avenue (entrance on 56th Street) New York, NY 10022 Assistant: Karina Febre p: 212.308.4342 e: karina.febre(a)childmind.org Speak Up for Kids: childmind.org/speakup <http://childmind.org/speakup> | Find us on Facebook: facebook.com/ChildMindInstitute <http://facebook.com/ChildMindInstitute> | Follow us on Twitter: twitter.com/ChildMindDotOrg <http://twitter.com/ChildMindDotOrg> --- This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message. Please note, the recipient should check this email and any attachments for the presence of viruses. The organization accepts no liability for any damage caused by any virus transmitted by this email.

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Fwd: Assistant Research Scientist Position at the Child Mind Institute
by Gary Green 14 Mar '13

14 Mar '13

Assistant Research Scientist Position at the Child Mind Institute ================================================================= Job Summary: Applications are currently being invited for an Assistant Research Scientist position available at the Child Mind Institute, under the direction of Cameron Craddock, PhD. The Child Mind Institute makes use of innovative MRI- and EEG-based imaging approaches to characterize brain maturation across the lifespan, with a particular focus on understanding the impact of psychiatric illnesses on maturational processes. Additionally, the Child Mind Institute is dedicated to the support of open-datasharing initiatives, such as International Neuroimaging Datasharing Initiative (http://fcon_1000.projects.nitrc.org/) and Enhanced Nathan Kline Institute – Rockland Sample ( http://fcon_1000.projects.nitrc.org/indi/enhanced/). The Child Mind Institute is currently recruiting an Assistant Research Scientist whose primary responsibility will be the acquisition and analysis of fMRI and EEG data. The principle requirement for the position is sufficient technical skills to independently develop software to implement novel data analysis strategies and task-based stimulus paradigms. The incumbent will be expected to perform large-scale neuroimaging analyses (both fMRI and EEG) with limited supervision. They must be able to: (1) work effectively in a very collaborative and multidisciplinary environment; (2) participate in writing scientific manuscripts; and (3) orally present their work. As their experience grows they will also be expected to supervise junior researchers. Responsibilities: - Implement novel signal processing, machine learning, and statistical methods in Python and C/C++. - Perform analysis on very large fMRI, MRI, DTI and EEG datasets using high performance computing infrastructures. - Develop and maintain a real-time fMRI system. - Participate in the design, implementation and performance of human neuroimaging experiments, both EEG and MRI. - Write journal publications and orally present research findings. - Mentor and in some cases supervise junior lab members such as other research associates and graduate students. Qualifications: - MS in Electrical Engineering, Biomedical Engineering, Computer Engineering, Physics, Computer Science, or other related scientific fields. - Proficient in programming C/C++ and Python. - Strong skills in using data analysis tools such as Matlab and R. - Previous experience with MRI and EEG is preferred. - Knowledge of neuroscience (cognitive and clinical) is a plus. - Prior research experience (preferred). Salary and Anticipated Start Date: Salary is competitive and commensurate with experience/educational qualifications. Benefits include health, vision, and dental. Applications and interviews will begin immediately, anticipated start data is April 2, 2013. Application details: Please send a resume or CV including the names of 3 references with your inquiry to cameron.craddock(a)childmind.org. Employment at Will Relationship: This position description does not constitute a guarantee that employment will continue for any specified period of time. Rather, employment is at the mutual consent of the employee and CMI, and can be terminated at will by the employee or by CMI. CMI reserves the right to modify the job description and/or reporting relationship at any time. CMI is an Equal Opportunity Employer. CMI is committed to recruiting and maintaining a diverse staff; individuals from all backgrounds are strongly encouraged to apply. Cameron Craddock, PhD Director of Imaging Center for the Developing Brain Child Mind Institute childmind.org 445 Park Avenue (entrance on 56th Street) New York, NY 10022 Assistant: Karina Febre p: 212.308.4342 e: karina.febre(a)childmind.org Speak Up for Kids: childmind.org/speakup <http://childmind.org/speakup> | Find us on Facebook: facebook.com/ChildMindInstitute <http://facebook.com/ChildMindInstitute> | Follow us on Twitter: twitter.com/ChildMindDotOrg <http://twitter.com/ChildMindDotOrg> --- This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message. Please note, the recipient should check this email and any attachments for the presence of viruses. The organization accepts no liability for any damage caused by any virus transmitted by this email.

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Fwd: Neuroimaging Research Technician Position
by Gary Green 14 Mar '13

14 Mar '13

FYI A Neuroimaging Research Technician position is available in the VA Boston Healthcare System (VABHS) Neuroimaging Research for Veterans (NeRVe) Center. The Neuroimaging Research Technician will provide technical support for image preprocessing and analysis (using programs such as FSL and FreeSurfer), maintenance and development of in-house custom processing codes (script writing in unix/linux, matlab, etc), and assist staff members in the conduct of neuroimaging research as well as administrative tasks related to the Center. This includes developing expertise and training other investigators with the operation of current MRI hardware (scanner console, goggles, headphones, BioPac system, etc) and software for data processing and analysis. Additional responsibilities will include management of online documentation and center resources. Technical skills and familiarity with Linix/Unix, Matlab, and imaging software packages such as FSL and FreeSurfer is beneficial. Applicants should have a minimum of a Bachelor’s degree, with a background in Neuroscience, Computer Science, Engineering, Math or Physics. A two year commitment is required. Interested candidates should email a cover letter, resume, and contact information for two professional references to Emily Lindemer at emily.lindemer(a)va.gov .

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Fwd: Neuroimaging Data Manager Position
by Gary Green 14 Mar '13

14 Mar '13

FYI A Neuroimaging Data Manager position is available in the VA Boston Healthcare System (VABHS) Neuroimaging Research for Veterans (NeRVe) Center. The candidate will be responsible for effective management and maintenance of neuroimaging data within the NeRVe Center infrastructure. Responsibilities include provisioning, management of neuroimaging software, and operation, and maintenance monitoring of neuroimaging systems including individual and group file permission management. The individual will also contribute to the innovative development of the neuroimaging Center infrastructure. The individual will ensure that neuroimaging hardware, operating systems, software, and related procedures adhere to internal research standards. This individual will assist project teams with technical issues in neuroimaging data analysis and data management including backups and archiving. These activities include Linux shell scripting and more advanced coding, determining neuroimaging needs and strategies, and necessary testing of imaging systems. The individual should be trained in Linux, Windows and Macintosh operating systems. Applicants should have a minimum of a Bachelor’s degree, with a technical major, such as engineering or computer science. Certification in Linux/Unix, Macintosh, and/or Microsoft would be beneficial, as would prior data management or neuroimaging experience. Interested candidates should email a cover letter, CV, and degree transcripts to Emily Lindemer at emily.lindemer(a)va.gov .

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