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Fwd: Position for a Research Technologist at Wayne State University
by Gary Green 25 Sep '14

25 Sep '14

*A full-time Research Technologist is needed to support the research data collection, analysis, management and computing infrastructure in Dr. Christine Rabinak’s Translational Neuropsychopharmacology Laboratory in the Department of Pharmacy Practice.* Specific responsibilities include: * Oversee data collection and management (e.g., neuroimaging, electrophysiology, psychophysiology, etc). * Identify technical and security requirements, maintain data quality standards, validate methods, and resolve issues. * Ensure compliance with industry and University standards for system design, network access, data security and protection of human participant confidentiality; * Contribute to the development of improved computational methods and visualization protocols, manuscript writing and grant development in collaboration with Dr. Rabinak and collaborators. * Develop and maintain data processing pipelines for functional and structural magnetic resonance imaging, electroencepholography/event-related potential, psychophysiological experiments, including automation of data management, administrative and standardized tasks. * Statistical analysis of research data. * Train research assistants, students, and other related staff in research techniques and analysis. * Assist in writing grants, manuscripts, and protocols to obtain funding to support research endeavors. * Work in partnership with the college IT department to maintain servers and data storage and of ordering computer equipment and software. Required Qualifications: * Bachelor’s degree in computer science, engineering, psychology, neuroscience, or a related field. * Strong scripting or programming experience in one or more of the following: MATLAB, Python, C. * Thorough knowledge of basic and research computing systems, including data storage and management, and system and data back-up. * Proven skills in performing tasks with continuous attention to accuracy, safety and productivity. * Excellent communication skills and a positive customer service orientation with all levels of users. Desired Qualifications: * Experience supporting/developing informatics systems in biological or research environments preferred. * Expertise in statistics, neuroimaging processing, or neuroscience preferred. * Ability to make a minimum 2-3 year commitment. *Click to apply.* <https://jobs.wayne.edu/applicants/jsp/shared/position/JobDetails_css.jsp?po…> Questions can be directed to Dr. Rabinak: rabinak(a)wayne.edu

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Fwd: Postdoctoral Felloship - Cognitive Neuroscience of Memory
by Gary Green 24 Sep '14

24 Sep '14

The Rotman Research Institute at Baycrest currently has an opportunity for a Postdoctoral Fellowship Cognitive Neuroscience of Memory Job Summary: The Rotman Research Institute of Baycrest is offering a research fellowship in the cognitive neuroscience of memory in the laboratory of Dr. Brian Levine at the Rotman Research Institute. The projects involve the neural and behavioral correlates of memory, particularly autobiographical memory. Responsibilities: • Analyzing of individual difference effects in healthy adults and patients’ autobiographical memory processes in relation to structural neuroimaging, functional neuroimaging (EEG, fMRI, MEG), genetics, personality, psychopathology, and behavioral measures. • This training opportunity provides broad exposure to systems neuroscience methods such as advanced neuroimage analysis and neural endophenotypes in the context of ecologically valid mnemonic phenotypes. Qualifications: • Applicants should have a Ph.D., M.D. or equivalent degree. • The Rotman Research Institute welcomes applications from all qualified individuals, including members of visible groups, minorities, women, aboriginal persons, and persons with disabilities. Applications will be reviewed in the order received, with an expected start date before March 2015. The duration of the fellowship is two years, with the option of continuing for a third year. Bursaries are in line with the fellowship scales of the Canadian Institutes of Health Research and include an allowance for travel and research expenses. Applicants should submit a C.V. and relevant reprints, together with a cover letter describing current research interests and future research goals, and also arrange to have three letters of reference sent independently to: Dr. Brian Levine, Rotman Research Institute, Baycrest Center for Geriatric Care, 3560 Bathurst Street, Toronto, Ontario, M6A 2E1, Canada. Email address: blevine(a)research.baycrest.org. www: http://www.levinelab.ca As staff we all share in maintaining a safe care environment for clients, families, and visitors and a safe work environment for staff, physicians, students and volunteers. Baycrest is committed to providing accessible employment practices that are in compliance with the Accessibility for Ontarians with Disabilities Act (‘AODA’). If you require accommodation for disability during any stage of the recruitment process, please notify Human Resources at (416) 785-2500, ext. 2961. https://baycrest-hospital-openhire.silkroad.com/epostings/index.cfm?fuseact…

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Fwd: Hiring a NeuroImaging Engineer mine large functional-connectivity databases
by Gary Green 24 Sep '14

24 Sep '14

Please find the following job posting: _______________________________________________________________________________ Job offer: https://team.inria.fr/parietal/job-offers/ Motivational blog post: http://gael-varoquaux.info/blog/?p=175 _______________________________________________________________________________ We are looking for a research engineer to assist us in applying leading-edge machine-learning methodology to large databases of fMRI resting-state functional-connectivity. In a few words, we want to leverage the nilearn (http://nilearn.github.io) library for machine learning on brain imaging as well as internal research in the Parietal team (http://http://team.inria.fr/parietal/) at INRIA, to learn predictive biomarkers of pathologies from unique large fMRI databases. These databases are hosted at the CATI (http://cati-neuroimaging.com/) and encompas multiple pathologies, with match control subjects, aquired nation-wide in France. As a research engineer, you will be taking part to the NiConnect research project (http://parietal.saclay.inria.fr/research/spatial_patterns/niconnect), developing tools for the analysis of "functional connectomes": brain connectivity infered using functional MRI. The project unites neuroscientists, data-miners, statisticians and clinical researchers to transfer recent advances in basic neuroscience to clinical diagnostic tools. You will work hand in hand with the computer science and statistics researchers, as well as the clinical researchers. Your duties will be: * to integrate the functional-connectivity tools developed in nilearn * into the CATI analysis pipelines. * to validate functional-connectivity approaches and extract new * bio-markers for specific applications to dementias using CATI datasets. Targeted applications include the prediction of Alzheimer's disease based on the unique nation-wise cohort of elderly people that is managed by CATI. * to assist writing publications in relation with those activities. * to contribute to the nilearn library (http://nilearn.github.io) in order to make functional-connectivity analysis on large cohorts easier. You will be employed by CATI (http://cati-neuroimaging.com/) (itself part of CEA, which manages the Neurospin brain-imaging platform), but you will be embedded in the Parietal computer science group (http://http://team.inria.fr/parietal/) in which I group, and that is affiliated to INRIA, the French computer science research institute. Requirements ============= * Masters or PhD in computer science, electrical engineering, * neuro-imaging or a related field. * Previous experience with medical imaging/neuroimaging * Good technical English level * A goal-oriented, practical approach to running data analysis * Knowledge in image processing, statistical analysis or machine learning desired * Programming experience, in particular in Python and/or open source libraries, welcomed * Some knowledge of Linux/Unix appreciated * Experience with a computing cluster is a plus Speaking French is not a requirement, as it is an international team. Why apply to this job? ====================== As for any job, the best reason to apply to this job would be because you are excited to learn new things. Parietal and CATI are highly-skilled environment, with expertize in advanced neuroimaging data processing, machine learning, statistics, neuroscience, and high-quality software development in Python. About the team =================== Working at Parietal is a unique opportunity to be at the core of statistical methodological research for neuroimaging and to improve your skills in data processing in Python. Parietal (https://team.inria.fr/parietal/) is part of INRIA (http://www.inria.fr), the French computer science research institute, recognized world-wide as one of the leading computer-science research institutions. Parietal is a small research team (around 20 people) with a fine understanding of statistical and algorithmic issues in neuroimaging data processing as well as an excellent technical knowledge of scientific computing in Python. Parietal is committed to helping to build an open-source neuroimaging data-processing community. its members are core developers in central projects Python data-processing tools such as the nilearn (http://nilearn.github.io) library for machine learning applied to NeuroImaging, scikit-learn (http://scikit-learn.org), the reference machine learning library in Python, Mayavi (http://docs.enthought.com/mayavi/mayavi/) for 3D visualization, as well as the nipy (http://nipy.org) library for NeuroImaging. (CATI<http://cati-neuroimaging.com/) is the national core facility for multicenter neuroimaging studies. CATI brings together neuroimaging research laboratories with complementary expertise located at NeuroSpin, the largest French MR research institute, and in La Pitié-Salpêtrière Hospital, the largest French hospital. CATI's services cover standardization of MRI data acquisitions, data transfer to a centralized database, monitoring and quality control, and image analysis using a large portfolio of tools that include machine learning approaches. Initially designed to address Alzheimer's disease- specific needs, the platform is now open to academic research projects and therapeutic trials targeting any neuropsychiatric disorder. CATI's core laboratories have many years of experience in the coordination of multi-site neuroimaging research. Its infrastructure stretches across the country, collecting additional know-how from all the French groups and organizations involved in neuroimaging, in order to offer the best tools for scientific projects. CATI has already received over 5000 exams from its harmonized network of over 50 sites. Over 10000 images of multiple modalities (anatomical MRI, functional MRI, diffusion MRI, PET, SPECT) have been processed resulting in various anatomical and functional measures. CATI is a core member of the NiConnect project. Parietal as well as the core team of CATI are located in the Neurospin brain research facility (http://www-dsv.cea.fr/en/instituts/institut-d-imagerie-biomedicale-i2bm/ser…), that hosts several brain scanners and research teams in neuroscience and medical imaging. Contact Info ============== * Technical Contact: Gael Varoquaux * E-mail contact: gael.varoquaux(a)inria.fr * HR Contact: Catherine Champseix * E-mail Contact: catherine.champseix(a)gmail.com * No telecommuting * Fixed-term contract. Duration 24 month, with possible extension of 12 * months. * Salary depending on experience * Experience required: some professional experience in neuroimaging or data processing -- Gael Varoquaux Researcher, INRIA Parietal Laboratoire de Neuro-Imagerie Assistee par Ordinateur NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France Phone: ++ 33-1-69-08-79-68 http://gael-varoquaux.info http://twitter.com/GaelVaroquaux

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Fwd: Postdoctoral Fellowship at Duke-National University of Singapore
by Gary Green 24 Sep '14

24 Sep '14

*Postdoctoral Fellowship at Duke-National University of Singapore* Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory, Center for Cognitive Neuroscience at Duke-NUS Graduate Medical School, National University of Singapore is looking for postdoctoral fellow in cognitive neuroscience and/or multimodal neuroimaging. Our group studies the anatomical and functional connectivity underlying cognition in health and the associated vulnerability patterns in neuropsychiatric disorders, including neurodegenerative diseases (focusing on AD, FTD and preclinical stages) and Schizophrenia. Multimodal neuroimaging and psychophysical techniques are employed, including magnetic resonance imaging (MRI), resting-state and task-based functional MRI, diffusion MRI, and concurrent fMRI-electroencephalography (EEG). We are interested in examining the network-level brain connectivity dynamics to shed light on the neurobiological mechanism of disease, paving the way for early detection and intervention. Candidates must have a passionate enthusiasm for research, a strong background in one of the following fields: cognitive neuroscience, neuropsychiatric disorders, neuroimaging analyses, mathematics/statistics/machine learning or related-fields. He/She should also possess the ability to take the initiative, work independently and be motivated to work in a highly collaborative and international research environment, and be able to demonstrate creativity, technical independence and excellent communication skills. Strong interest in studying social-emotion/cognition/memory functions and/or applications of multimodal neuroimaging in neuropsychiatric disorders is preferred. Proven skills in MRI/fMRI/EEG/Diffusion data analyses is a plus. Key attractions are access to a 3T Siemens Prisma MR scanner and a MR compatible digital EEG system as well as collaboration opportunities with an excellent network of domestic and international scientists and doctors. The position will be two years with possible extension. Competitive package will be provided based on experience. Interested applicants are welcome to email Assistant Prof. Helen Juan Zhou at _helen.zhou(a)duke-nus.edu.sg <mailto:helen.zhou@duke-nus.edu.sg>_ with application letter, curriculum vitae, three references, and contact information. Website: _https://sites.google.com/site/mneuroimaginglab/_; http://www.duke-nus.edu.sg/content/zhou-juan-helen <http://www.duke-nus.edu.sg/content/zhou-juan-helen>

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Fwd: Postdoctoral Fellowship at Johns Hopkins University - pain neuroimaging
by Gary Green 24 Sep '14

24 Sep '14

The Johns Hopkins University Schools of Medicine, Public Health, and Nursing invite applicants for an interdisciplinary postdoctoral training program (T32 NS070201) in biobehavioral pain research. Fellows work within an interdisciplinary team and have the opportunity to both contribute to existing NIH-funded projects and begin to develop an independent line of research through extramural and intramural funding mechanisms. Faculty members participating in the fellowship program currently offer several exciting opportunities for work on neuroimaging projects, including fMRI and PET. Applicants with a background in neuroimaging are strongly encouraged to apply. The postdoctoral fellow must be a citizen or a noncitizen national of the United States or have been lawfully admitted for permanent residence at the time of the appointment. Further details can be found at www.hopkinspainfellowship.org <http://www.hopkinspainfellowship.org>, or by emailing the Principal Investigators, Dr. Gayle Page (gpage1(a)jhu.edu <mailto:gpage1@jhu.edu>)or Dr. Jennifer Haythornthwaite (jhaytho1(a)jhmi.edu <mailto:jhaytho1@jhmi.edu>).

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Fwd: Post-Doctoral Research Fellowship in Imaging for Autism Spectrum Disorders
by Gary Green 19 Sep '14

19 Sep '14

The Autism Spectrum Disorders Research Program at the Child Study Center of the NYU Langone Medical Center is looking for a post-doctoral fellow interested in conducting behavioral and neuroimaging research in autism spectrum disorders (ASD) and related conditions (e.g., attention deficit hyperactivity disorder). Current research applies R-fMRI and diffusion-tensor imaging, as well as simultaneous fMRI/EEG acquisition, and behavioral and neuropsychological measures to investigate biomarkers in children and adults with ASD and related neurodevelopmental disabilities. The fellow will work with PI Adriana Di Martino (primary mentor; NYU CSC) and collaborator Michael P. Milham (Child Mind Institute, Nathan Kline Institute). Position is for a minimum of two years and responsibilities will include but are not limited to study design and data acquisition, data analysis and manuscript preparation. Minimum Qualifications: Doctoral degree in cognitive neuroscience, computer science, engineering or related areas. Prior experience with one or more functional neuroimaging techniques (fMRI, PET, EEG, MEG) is essential. Must be proficient with computers, scripting/programming (bash, python and/or matlab) and at least one neuroimaging analysis package (AFNI, SPM, FSL). Applications should include a letter of interest and CV to be emailed to Adriana Di Martino, M.D. Research Director of the Autism Research and Clinical Program at NYU CSC at adriana.dimartino(a)nyumc.org and Michael Milham, M.D., Ph.D. at michael.milham(a)childmind.org.

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Fwd: Postdoc position
by Gary Green 18 Sep '14

18 Sep '14

A position is available for a Postdoctoral Fellow in the laboratory of Dr. Matilde Inglese in the Estelle and Daniel Maggin Department of Neurology at the Icahn School of Medicine at Mount Sinai in New York. Applicants should have a Ph.D. degree in biomedical engineering, or applied Mathematics and should have knowledge and experience in both task-based and restingstate fMRI, EEG-fMRI and Diffusion MRI. Experience with fMRI analysis software packages, presentation software, strong computer programming skills (e.g., in C/C++ & especially MATLAB) are highly desirable Potential applicants are encouraged to contact Matilde Inglese, Associate Professor Neurology, Radiology and Neuroscience (email: matilde.inglese(a)mssm.edu) to find out more about the role, before submitting a formal application including CV and 3 references.

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Fwd: Postdoctoral Fellowship in Structural and Functional MRI Research
by Gary Green 18 Sep '14

18 Sep '14

Postdoctoral Fellowship in Structural and Functional MRI Research University of California at Los Angeles, Los Angeles The Department of Anesthesiology, University of California at Los Angeles would like to invite applications for two year Postdoctoral Fellowship position starting from November 1, 2014 (or as soon as possible), with possibility for two more years’ extension, based on satisfactory performance and productivity. Project details Functional and structural magnetic resonance imaging (fMRI) methods have become non-invasive procedures to examine task-specific brain activity, quantify functional connectivity at resting-stage, and to assess structural tissue integrity. The primary goal of this project is to develop, optimize existing analyses tools in the lab, and apply them to model whole-brain functional connectivity based on resting stage fMRI data, examine brain fMRI signal responses to autonomic and other challenges, and asses brain structural integrity using T2-relaxometry, diffusion tensor and kurtosis imaging, and magnetization transfer imaging in patients with heart failure condition. Qualifications A PhD degree in mathematics, radiology (MRI), biomedical engineering, electrical engineering, neuroscience, or related field with background and research experience in functional and structural MRI-related research in humans, especially in functional and structural MRI data processing and MATLAB-based programming, reflected as data-based publications, is required. Experience in MRI data acquisition and optimization of protocol is also essential. Excellent communication and writing skills in English are also essential. Environment Our lab is part of neuroscience community at UCLA, the largest neuroscience community in the USA, host a large number of neuroscientists (>500), who provide a resource for neuroanatomic, neuropathologic, neurophysiologic, neuropsychologic, and analytic support. The laboratory is immediately adjacent to the Ahmanson-Lovelace Brain Mapping Center, which provides a significant resource in neuroimaging faculty (>28 faculty, both basic and clinical), software, and analytic support, and there are ample of opportunities to interact those scientists. Our lab uses a 3.0-Tesla MRI scanner (Siemens, Prisma), located in the proximal Department of Radiological Sciences, a unit devoted to research studies with on-site PhD-level Siemens engineers. Appointment Terms and Salary The initial appointment would be for two years, with possibility for two more years’ extension, based on satisfactory performance and productivity. Salary and benefits would be based on UCLA norms with research experience. Application Procedure and Deadline UCLA is an equal opportunity and affirmative action employer (http://www.mednet.ucla.edu/), and all qualified individuals are encouraged to apply. Applications will be accepted until position is filled. To be considered for this position, please send your CV and a cover letter to: Rajesh Kumar, PhD Email: rkumar(a)mednet.ucla.edu Rajesh Kumar, PhD Assistant Professor Departments of Anesthesiology and Radiological Sciences David Geffen School of Medicine at UCLA University of California at Los Angeles Los Angeles, CA 90095-1763, USA Tel: 310-206-1679, 6133 (office); 310-825-1808 (Lab) Fax: 310-825-2236 Email:rkumar@mednet.ucla.edu _http://people.healthsciences.ucla.edu/institution/personnel?personnel_id=4…

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Fwd: Postdoctoral position in multimodal neuroimaging of decision making
by Gary Green 18 Sep '14

18 Sep '14

We are looking to appoint one postdoctoral fellow to make a leading contribution to an ESRC funded project on the neurobiology of human decision making using multimodal neuroimaging. The post will be based at the Institute of Neuroscience and Psychology (INP) at the University of Glasgow (ranked 2nd in the UK by the Guardian), which benefits from on-site access to the Centre for Cognitive Neuroimaging (CCNi). The CCNi is a research-dedicated facility within the INP and it is equipped with state-of-the art brain imaging facilities comprising a 3T fMRI scanner (Siemens Trio), an MEG system, and several TMS and EEG systems, including MR-compatible recording options. Our group uses multimodal neuroimaging coupled with mathematical modelling to characterise the spatiotemporal dynamics and the computational principles of the brain networks underlying human decision making. Our analysis methods are heavily inspired by machine learning and statistical pattern recognition and are designed to exploit trial-to-trial variability in electrophysiologically-derived measures that can be used in conjunction with simultaneously acquired fMRI to tease apart the cascade of constituent cortical and subcortical processes involved in decision making. The primary focus of the project will be to unravel the neural correlates of learning and confidence during decision making, which will form the basis for further development of brain computer interfaces (BCI) for human-machine interaction. The latter will take place in close collaboration with Prof. Paul Sajda’s team at Columbia University in New York with whom the selected candidate will have the opportunity to interact regularly. Candidates must have a PhD (or equivalent) in neuroscience, psychology, cognitive science or in a related discipline. Candidates must have previous practical experience and working knowledge of human neuroimaging (including both EEG and fMRI) as evident by a strong track record of publications in international journals. The post holder must also have working knowledge of multivariate data analysis techniques, excellent programming skills in Matlab and previous experience in using either fSL or SPM analysis software. Previous experience in simultaneous EEG/fMRI experiments and computational modelling is desirable. This post will be available from 5th January 2015 or as soon as possible thereafter for three years. Salary: Grade 7 £33,242 – £37,394 per annum. Informal enquiries may be addressed to Dr. Marios Philiastides at marios.philiastides(a)glasgow.ac.uk. Please note that applications sent directly to this email address will not be accepted. For more details on our research interests visit http://decision.ccni.gla.ac.uk. Apply online at www.glasgow.ac.uk/jobs (Ref: 009415) Closing date: 19 October 2014

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Fwd: Research Assistant Position
by Gary Green 18 Sep '14

18 Sep '14

The University of Southern California Imaging Genetics Center (http://igc.ini.usc.edu) - part of the Institute for Neuroimaging and Informatics - in Marina del Rey, California is looking for a talented full-time Project Assistant to assist with research activities. Duties will focus on analyzing existing MRI scans to investigate how growth factors, inflammation, and genetic variants relate to brain structure and function, particularly in regions vulnerable to Alzheimer’s disease. The successful applicant will have a bachelor’s or master’s degree in bioengineering, neuroscience, or a related field. He or she should be careful and reliable, able to meet deadlines, and able to work both collaboratively and independently. Good knowledge of Excel and basic shell scripting are required. Some experience with MRI analysis and a working knowledge of FSL, Freesurfer (or similar software), Matlab, Unix, and R are strongly preferred. Ideal candidates also will be able to read and understand background literature and can communicate clearly both verbally and in writing. This position would be great for candidates looking to gain training and experience for a few years before eventually applying to a PhD program or medical school. To apply or to gain more information, please e-mail Dr. Meredith Braskie (meredith.braskie(a)ini.usc.edu) with your cover letter and CV.

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