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Fwd: Cron <ydbfinance@parietal> umask 0027; LANG=en_GB.UTF-8 /var/ydbfinance/ynicdb/ynicDBRaiseInvoices --verbose
by Gary Green 07 May '14

07 May '14

-------- Original Message -------- Subject: Cron <ydbfinance@parietal> umask 0027; LANG=en_GB.UTF-8 /var/ydbfinance/ynicdb/ynicDBRaiseInvoices --verbose Date: Wed, 7 May 2014 15:50:02 +0100 (BST) From: root(a)parietal.ynic.york.ac.uk (Cron Daemon) To: invoicing(a)ynic.york.ac.uk Raised invoice YI000633 PDF: /groups/ynic_staff/invoices/autogenerated/2014/05/07/YI000633.pdf CSV: /groups/ynic_staff/invoices/autogenerated/2014/05/07/YI000633.csv

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Fwd: CORRECTION OF DEADLINE 10 PhD positions - CIMeC - Italy
by Gary Green 07 May '14

07 May '14

Dear Colleagues and prospective Students, in a previous mail I have posted a wrong deadline with the call for 10 PhD positions at the Center for Mind/Brain Science. The correct deadline is*Tuesday May 13th, 4:00 PM.* * * *My sincere apologies. Please find below the entire corrected call.* * * Jens Schwarzbach -------------------------- * * The Center for Mind/Brain Sciences, University of Trento - Italy is now accepting applications for its PhD program. The School is offering *10 fellowships* for the three-year Doctoral Program. *The application deadline is 4:00 p.m. May 13, 2013*. The PhD Program has two tracks: * Cognitive Neuroscience * Language, Interaction & Computation The Program is emphasizing this year applications in the field of: * Animal Cognition * Computational Neuroscience * Development * Language * Learning/Motivation * Neuroimaging Methods and Analysis * Perception and Action * Decision Making and Thinking All courses are given in English. CIMeC has state-of-the-art laboratories for fMRI, MEG, EEG and TMS. The University of Trento ranks 1^st among the Italian Universities in the rankings of Times Higher Education and CIMeC ranks 1^st for quality of research in the ranking of the Italian National for the Evaluation of Universities and Research (ANVUR). CIMeC has 6 ERC starting grants and 1 advanced grant. Trento ranks 1^st in the annual survey on quality of life in Italian cities conducted by daily Il Sole 24 Ore. General info:http://www.unitn.it/en/drcimec/intro Application information: http://www.unitn.it/en/drcimec/admissions FAQ section: http://www.unitn.it/en/drcimec/10142/frequently-asked-questions Contact: phd.cimec(a)unitn.it <mailto:phd.cimec@unitn.it> jens.schwarzbach(a)unitn.it <mailto:jens.schwarzbach@unitn.it>

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Reminder: MEG/EEG research group meeting
by Emma Holmes 06 May '14

06 May '14

Dear all, Just a reminder about the MEG/EEG meeting *this Thursday (8th)*, where Scott will be presenting "Reactivating and Reorganising Memories in Sleep". The meeting will take place at *12:00* in *B002*. Best, Emma On 24 April 2014 16:57, Emma Holmes <eh776(a)york.ac.uk> wrote: > Dear all, > > The next MEG/EEG group meeting will be *Thursday 8th May *at > *12:00pm* > Scott Cairney will be presenting "Reactivating and Reorganising Memories > in Sleep". > > Hope to see you there! > > Best, > Emma > > ____________________________________________ > > Emma Holmes > PhD Student > > Room B001b, Department of Psychology, > University of York, Heslington, York, YO10 5DD, UK. > Email: eh776(a)york.ac.uk; Tel: 01904 322879 > >

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Fwd: PhD Job offer in Visual Neuroscience, University of Regensburg (Germany)
by Gary Green 06 May '14

06 May '14

To: SPM(a)JISCMAIL.AC.UK Dear colleagues, please find below a job offer for a PhD position at the University of Regensburg, Germany. You might send it to interested students if you like. Best regards, Gregor **** The University of Regensburg (Germany), Institute for Psychology, Workgroup Experimental Psychology offers a 65 % position for a three-year PhD project starting in October 2014 (Chair: Prof. Dr. Mark Greenlee; Principal Investigator: PD Dr. G. Volberg). The salary will be according to German TV-L E 13 (65 % position) payment plan. The DFG-funded research project is on the neural basis of grapheme-color synesthesia, a perceptual phenomenon where achromatic letters or numbers produce a simultaneous sensation of color. Methods include electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Eligible job applicants must hold a masters degree (or comparable) in psychology or neighboring disciplines. They should have an academic background in visual neuroscience, especially in the acquisition and analysis of EEG and/or fMRI data. Programming experience in MatLab is advantageous. Job holders will need to recruit and test synesthetic participants from the local student population. Good skills in German are therefore necessary. We can offer an active research environment, an interesting topic for your PhD thesis, a friendly team and a UNESCO-heritage city located on the Danube River. We are looking forward to receiving your application! The University of Regensburg supports the reconcilability between family and career (see http://www.uni-regensburg.de/chancengleichheit). Physically challenged applicants will be preferred in cases of equivalent qualification. If applicable, please convey extend and type of disability in your résumé. Please note that the university does not refund costs ensuing from job interviews. Please send your application by June 1st, 2014 to PD Dr. Volberg, gregor.volberg(a)ur.de <mailto:gregor.volberg@ur.de>. The application should hold pertinent information about your academic career. Please send in the application in an electronic form (pdf) and use the subject matter „Application Synesthesia“ in the e-mail. The contact person is PD Dr. Gregor Volberg (office hours, Wednesday 10-12, Tel. +49 941 943 3862; http://www.uni-regensburg.de/psychologie-paedagogik-sport/psychologie-green…). -- PD Dr. rer. nat. Gregor Volberg gregor.volberg(a)ur.deUniversity <mailto:gregor.volberg@ur.deUniversity> of Regensburg Institute for Experimental Psychology 93040 Regensburg, Germany Tel: +49 941 943 3862 Fax: +49 941 943 3233http://www.psychologie.uni-regensburg.de/Greenlee/team/volberg/volberg.html

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Fwd: Post Doc Position
by Gary Green 05 May '14

05 May '14

Postdoc Opening: There is an opening for a Postdoctoral Fellow with experience in machine learning, pattern recognition and computational modeling who is interested in functional imaging analysis relating to Traumatic Brain Injury (TBI). The focus of our research is to identify clinically relevant biomarkers as diagnostic and prognostic indicators of TBI by integrating multimodal neuroimaging and neurobehavioral measures. The proposed work will make use of previously collected neuroimaging and self-report symptom measures housed in a database at the National Intrepid Center of Excellence (NICoE), in Washington, D.C. This database contains structural and functional magnetic resonance (MR) images from over 500 TBI patients and fluorodeoxyglucose (FDG) positron emission tomography (PET) images for over 320 of these patients, with additional control subjects. MEG data are also available, along with advanced computational resources. Responsibilities: 1. The main focus of this position is on developing and implementing pattern recognition and machine learning tools for the analysis of MRI and fMRI data sets. 2. Identify and develop multimodal visualization tools and statistical models to classify and discriminate morphological features in imaging data sets. 3. Develop and implement optimization routines to increase efficiency of pattern detection and visualization tools. 4. Other duties include optimizing protocols, monitoring quality control, and participating in the grant and research report authorship. Required Knowledge, Skills, and Abilities: Experience in machine learning techniques, image processing, computational neuroscience, artificial intelligence, pattern recognition, nonlinear dynamics, analyzing large neural data sets, neural systems modeling or related areas. Expertise in MRI, fMRI, and quantitative (morphological) MRI. Experience with statistical analysis using a common analysis package (AFNI, FSL or SPM) preferred. Proficiency in a scientific programming language required (e.g. IDL, Matlab, python, C++). Incumbent should also have strong technical writing and verbal communication skills, posses a collaborative personality, strong attention to detail and be highly motivated. U.S. citizenship and/or ability to pass a rigorous background check required. Minimum Education/Training Requirements: Applicants should have a PhD in Computer Science, Electrical Engineering, Statistics, Machine Learning, Computational Physics, Applied Mathematics, Computational Neuroscience, or similar. Duration: The duration of this position is for up to 3 years. For informal inquiries, please contact Dr. Nathan: nathan_de(a)yahoo.com

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Fwd: Research Scientist Position Available
by Gary Green 05 May '14

05 May '14

Research Scientist Position Available Department of Psychiatry Columbia University Job Description: Applications for Research Scientist Position are currently being invited. Candidates must have completed a PhD in cognitive neuroscience or related field. The principal objective of our work is use multimodal MRI techniques to enable a better understanding of the neurobiological bases of mood and attentional disorders in children and young adults. We also focus on the use of MRI techniques to examine and elucidate the mechanisms by which psychiatric treatments are effective. Salary: $50,000-$65,000 per year, depending on experience Minimum Qualifications: PhD in cognitive neuroscience or related field Computer programming skills (e.g., in C/C++, Python, MATLAB) Strong skills in operating of one or more common neuroimaging packages (e.g., AFNI, FSL, or SPM) Additional Qualifications: Close attention to detail Solid communication and writing skills Interested candidates should contract: Jonathan Posner, MD jep2111(a)columbia.edu

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Fwd: 2 PhD positions at MPI Leipzig, Germany
by Gary Green 05 May '14

05 May '14

Dear all, The Department of Neurology at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig and the IFB Adiposity Diseases at the Medical Center Leipzig offer 2 PhD positions in the newly founded Research Group “Obesity and Aging”, headed by Dr Veronica Witte. We aim to determine the effects of obesity, dietary habits and other lifestyle-related factors on the aging brain, and to shed light on potential underlying mechanisms including an individual’s genetic background. Therefore, we use functional and structural magnetic resonance imaging (MRI), behavioural data, peripheral markers, and genotyping in large cohorts of younger and older humans. Under supervision, the successful applicant will work independently on MRI analyses, statistical analyses, literature research and manuscript drafting as well as on the development of new projects. Participation in the group’s journal club and attendance at meetings is expected. We are looking for a motivated, self-organized, and team-oriented PhD student, holding a Master’s degree (or equivalent) in the disciplines neuroscience/biomedical sciences (psychology, biology, medicine, bioinformatics...). Previous experience in statistics, epidemiology, dealing with large datasets, neuroimaging methods, neuropsychological testing, neuroanatomy, imaging genetics or programming skills are an advantage. Fluent English is necessary. We offer the challenging, dynamic, innovative, international, and multidisciplinary environment of the Max Planck Institute for Human Cognitive and Brain Sciences in the beautiful city of Leipzig, with state-of-the-art facilities for MRI (7 T and 3T) and possibilities to engage in multiple cooperations. Please send your application including a letter of motivation (up to one page), CV, academic certificates and the names of 2 referees via email to Dr Veronica Witte, witte(a)cbs.mpg.de Deadline for application: until position is filled. The salary is based on the E 13 TV-L salary scale (1/2). In order to increase the proportion of female staff members, applications from female scientists are particularly encouraged. Disabled applicants are preferred if qualification is equal.

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Fwd: PhD position on advanced motion correction for high-resolution EPI imaging
by Gary Green 02 May '14

02 May '14

1 PhD position at the MPI for Biological Cybernetics (MPI-BK), Tübingen, Germany One PhD position is available in a joint research project to develop a highly innovative setup to investigate brain activity during natural arm and finger movements using functional MRI. Movements are fundamental to interact with our environment. Their disturbance - for example in stroke patients - has devastating consequences on all aspects of everyday life. While it is highly desirable to understand the neural processes underlying even simple movements, this is an extremely challenging task due to the space constraints in MR scanners and the co-occurrence of motion artifacts in the EPI images. The successful candidate will join a team consisting of partners at the TU Munich, University of Ulm and the MPI-BK that develops an integrated setup to tackle those limitations. His or her main responsibility will lie on the implementation of novel motion correction schemes for EPI imaging and the integration of the imaging part into the overall setup. Applicants should have an MSc in physics and be experienced in MR imaging. Good programming skills (Matlab/C/C++, favorably Siemens IDEA) are necessary. They should enjoy working on multidisciplinary topics and have a general interest in neuroscience. The MPI-BK provides an excellent multidisciplinary, interactive and collaborative research environment combining expertise in neurophysiology (Prof. Nikos Logothetis), psychophysics (Prof. Heinrich Bülthoff), machine learning (Prof. Bernhard Schölkopf) and MRI methodology (Prof. Klaus Scheffler). The position is funded for a period of 3 years according to German Public service regulations and is immediately available. The Max Planck Society is an equal opportunity employer: Handicapped individuals are strongly encouraged to apply, and so are women in areas in which they are underrepresented. Applications including a CV and a statement of research interests and experience should be submitted to: Prof. Klaus Scheffler Max Planck Institute for Biological Cybernetics Department of High-field Magnetic Resonance Spemannstrasse 41 72076 Tübingen, Germany Email: Tina.Schroeder(a)tuebingen.mpg.de

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Fwd: NIH Staff Scientist Position available, Bethesda, MD, USA
by Gary Green 02 May '14

02 May '14

Posted on behalf of the CPB: Department of Health and Human Services (DHHS) National Institutes of Health (NIH) National Institute of Mental Health (NIMH) Division of Intramural Research Programs (DIRP) Section on Childhood Neuropsychiatric Disorders (SCND) Child Psychiatry Branch (CPB) Staff Scientist The Child Psychiatry Branch, in Bethesda, Maryland, is recruiting applicants for a Staff Scientist position. As a Staff Scientist, the primary duties will include conducting statistical analyses on clinical, neurobiological and treatment studies carried out in the Branch. This includes but is not limited to tasks such as maintaining the appropriate data sets, clearly conveying statistical results and methods both orally and in writing, reviewing and writing statistical content for manuscripts prior to submission, and working closely with and providing statistical support for all Branch members. The Staff Scientist position entails 25% time allotted to pursuing individual research interests. The Child Psychiatry Branch is a highly productive and collaborative group with a rich, multimodal dataset that seeks to understand neurodevelopmental disorders, with a focus on childhood-onset schizophrenia. There is a strong scientific and statistical computing core facility in existence, which can benefit this work. For more information about the Child Psychiatry Branch, please utilize the following link: http://www.nimh.nih.gov/labs-at-nimh/research-areas/clinics-and-labs/chp/in dex.shtml Interested candidates must have five years post-doctoral experience. Applicants should have a strong background in statistics and programming/computer science, as well as interests and experience in neuroimaging and behavioral research. The recruit should be adept at writing his/her own code to clean, organize, analyze, and visualize data. Unix and python programming skills are also preferable. In addition some highly desirable skills include: experience analyzing structural MRI, functional MRI and/or MEG data; a solid foundation in multivariate statistics (e.g., cluster analysis, principal components analysis, independent components analysis), and a background in longitudinal data analysis (e.g., mixed model regression/hierarchical linear modeling); proficiency in statistical programs such as R and MATLAB and visualization methods. SALARY RANGE: Salary is commensurate with experience and accomplishments. BENEFITS: The federal government offers a comprehensive benefits package including vacation, sick leave, holidays, life insurance, health benefits, and participation in the Federal Employees Retirement System. For more information go to new employee benefits at the NIH (http://hr.od.nih.gov/Benefits/permanentemployee.htm) and other employee benefits information (http://tiny.cc/saVcr). Interested applicants should send their CV and cover letter to Dr. Judith Rapoport, NIMH, 10 Center Drive, Bldg. 10, Rm. 3N202 (MSC-1600), Bethesda, MD 20892 USA, or by email: rapoporj(a)mail.nih.gov SUBMISSION DEADLINE: June 1, 2014 NIH and DHHS are Equal Opportunity Employers.

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Fwd: Ph.D. opportunity at the University of Manchester
by Gary Green 01 May '14

01 May '14

We would like to draw your attention to an opportunity to undertake a fully-funded Ph.D. with the Audiology and Deafness Research Group in the School of Psychological Sciences at the University of Manchester. Please forward this message to anyone who may be interested. The topic is "Using health behavioural change approaches to predict and encourage hearing aid uptake and adherence in adults with age-related hearing loss", supervised by Professors Kevin Munro & Chris Armitage and funded by Phonak AG. Project details can be found here: http://www.findaphd.com/search/ProjectDetails.aspx?PJID=54592 Please email kevin.munro(a)manchester.ac.uk for further details. Thank you very much

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