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Fwd: Two PhD positions at Gothenburg University, Sweden

by Gary Green

We are pleased to announce two PhD studentships in medical imaging: Experimental neuroimaging with Focal MEG Type of employment: Fixed-term employment, 4 years if full-time studies Extent: 100 % Location: Sahlgrenska Academy, Göteborg First day of employment: As agreed Reference number: UR 2014/16 http://www.gu.se/english/about_the_university/announcements-in-the-job-appl… This project targets stress-induced heart disease (SIHD) with an experimental neuroimaging technique: Focal MEG. The PhD student will be involved in the planning and execution of medical research studies that explore the neurophysiological signaling pathways responsible for the spectrum of responses to arousal we have observed in the general population. These arousal responses are rapid—occuring in less than a heartbeat—and strongly correlated with long-term trends in blood pressure and heart disease. State-of-the-art MEG—like the recently installed NatMEG system to which the student will have access—adds the time-dimension to neuroimaging, allowing one to see where, when, and how long brain activity occurs. Our experimental Focal MEG system improves the sensitivity of MEG; this project will help develop and validate this beyond state-of-the-art neurimaging system. Participants in the studies will be recruited from ongo ing studies that are presently led by the supervisory team at the SUH Department of Clinical Neurophysiology. By combining next-gen neuroimaging with groups of subjects that have been well characterized in ongoing studies, we hope to identify a biomarker for SIHD. The PhD student will thus have access to a unique research infrastructure (NatMEG, Focal MEG, as well as standard fMRI, EEG, ECG, etc.) and be supervised by leading clinical and experimental researchers. Not only will the finished PhD be well educated, but he/she will have a solid foundation for a career in testing clinical issues in experimental environments. When this project is completed, we hope to have identified clinically relevant and non-invasive markers that lead to a better understanding of the underlying physiological mechanisms for SIHD. /This PhD position is funded via doctoral grant during the first year and doctoral studentship during the last three years, and leads to a doctoral degree./ Automatic lesion detection in brain images Type of employment: Fixed-term employment, 4 years if full-time studies Extent: 100 % Location: Sahlgrenska Academy, Göteborg First day of employment: As agreed Reference number: UR 2014/17 http://www.gu.se/english/about_the_university/announcements-in-the-job-appl… A well-established and validated approach to anatomical image segmentation is to use image registration to propagate anatomical labels from multiple atlases to a target (patient) image. We have developed MAPER, a tool that implements this approach for the segmentation of structural magnetic resonance images of the brain. MAPER is currently the most accurate and robust method for segmenting the whole of the human brain into its constituent structures. We have shown its usefulness in particular for measuring markers of neurodegeneration, for example in Alzheimer's disease. The drawback of atlas-based segmentation methods is that some injuries or disease processes lead to the appearance of focal brain lesions (edema, bleeding, tumours, etc.). These are not normally represented in the atlases, and are therefore frequently mislabelled. Addressing this problem will potentially lead to novel applications of automatic image analysis: decision support in the management of stroke, quantitative monitoring of recovery after head injury or brain surgery, objective evaluation of the changes caused by brain tumours and brain cancer treatment, measurement of disease progression in multiple sclerosis, seizure focus identification in epilepsy, and many others. The goal of this project is to develop the capability of automatically detecting and measuring lesions and to validate it on real-world imaging data that we will access through collaborations with clinical experts in the relevant diseases. /This PhD position is funded via doctoral grant during the first year and doctoral studentship during the last three years, and leads to a doctoral degree. -- / Rolf A Heckemann, MD PhD Professor of Medical Imaging and Image Analysis MedTech West <http://www.medtechwest.se> at Sahlgrenska University Hospital University of Gothenburg Sweden

11 years, 3 months

YNiC seminar today

by rem

Dear Users This afternoon (4.15 pm in YNiC open plan) there will be a project proposal presentation given by Charlotte Murphy. The title of Charlotte's talk is "Flexible Retrieval and Representation of Amodal Concepts". Everyone is welcome to attend and refreshments will be served afterwards. Best wishes Rebecca -- ************************************************************************ Dr. Rebecca E. Millman Science Liaison Officer York Neuroimaging Centre The Biocentre York Science Park Heslington YO10 5DG Tel: +44 (0) 1904 567614 Fax: +44 (0) 1904 435356

11 years, 3 months

Open Plan

by Mark Hymers

Hi, For all of this term, YNiC open plan will be very busy on Thursdays, especially between 11-1 and 2-4. This is because of MSc Cognitive Neuroscience teaching. Non-MSc students can use open plan but will need to be aware that teaching is taking place and please use the machines at the back of the room. MSc students will be given priority on computers. Please make sure that you do not leave yourself logged into machines in open plan as we will forcibly log out users as necessary at the start of the teaching session. Apologies for the late sending of this email. Thanks, Mark -- Mark Hymers, York Neuroimaging Centre Please note that my email address is: mark.hymers(a)ynic.york.ac.uk Responses to messages sent to other addresses may be delayed

11 years, 3 months

YNiC Science Committee. Monday 20th January, 2pm. B204.

by Michael Simpson

Dear YNiC users, All YNiC users are invited to attend the next meeting of the YNiC Science Committee, next Monday at 2pm in B204. The committee exists to facilitate scientific work at YNiC by bringing YNiC staff and users together to discuss support issues. Users who would like to raise a particular issue for consideration at this meeting should contact the Chair (Beth Jefferies <beth.jefferies(a)york.ac.uk>) or Secretary (Michael Simpson <michael.simpson(a)ynic.york.ac.uk>) *in advance*, so that the issue can be added to the agenda. With best wishes Beth and Michael -- Dr Michael Simpson Science Liaison Officer York Neuroimaging Centre Innovation Way York YO10 5DG Tel: 01904 567614 Web: http://www.ynic.york.ac.uk

11 years, 4 months

YNiC seminar 16th January

by rem

Dear Users This Thursday (4.15 pm in YNiC open plan) there will be a project proposal presentation given by Charlotte Murphy. The title of Charlotte's talk is "Flexible Retrieval and Representation of Amodal Concepts". Everyone is welcome to attend and refreshments will be served afterwards. Best wishes Rebecca -- ************************************************************************ Dr. Rebecca E. Millman Science Liaison Officer York Neuroimaging Centre The Biocentre York Science Park Heslington YO10 5DG Tel: +44 (0) 1904 567614 Fax: +44 (0) 1904 435356

11 years, 4 months

Fwd:Postdoctoral Research Position in Neuroimaging of Eating Disorders

by Gary Green

The Eating Disorder Section of the Department of Child and Adolescent Psychiatry, University Hospital Carl Gustav Carus, Dresden University of Technology, Germany (Prof. Stefan Ehrlich) invites applications for a postdoc position (full time) in neuroimaging of eating disorders with a focus on computational neuroscience and in close collaboration with the Collaborative Research Centre 940 "Volition and Cognitive Control: Mechanisms, Modulators, and Dysfunctions" http://www.sfb940.de/. Our international and multidisciplinary group conducts basic research in neuroscience at the inter-face to clinical applications. We focus on cognitive control, reward system and the processing of positive and negative emotions in patients with anorexia nervosa. Some of our projects are part of the aforementioned Collaborative Research Centre (CRC, Steering Committee: Profs. T. Goschke, C. Kirschbaum, M. Smolka, A. Strobel, H.-U. Wittchen). Postdoctoral Research Position (f/m) in Neuroimaging of Eating Disorders To further strengthen our lab, we are seeking for a postdoc with some experience in Computational Neuroscience, e.g. model-based analysis of behavioral and MRI data, decoding or machine learning. Responsibilities will also include the coordination of our ongoing clinical research study and the acquisition, preprocessing and analysis of a range of behavioral and magnetic resonance imaging (MRI) data. Together with a doctoral student new functional MRI paradigms need to be programmed and implemented. Imaging sessions will take place on the Neuroimaging Center's 3T Siemens TIM-Trio scanner. We routinely collect high-quality structural, diffusion, and functional MRI data. A variety of additional information is also being collected, including neuropsychological and psychiatric scales, physiological (SCR, eye tracking) and endocrinological markers. Summarizing results and writing research articles will be another central aspect of the work. The successful applicant will work in a team of young investigators and also start to supervise doctoral students, interns and medical students working in the project. Thanks to the CRC the applicant will have ample opportunity to work with peers and senior scientists in similar project in the Medical School and the Psychology Department. In addition, the position offers the possibility for further scientific qualification (i.e. Habilitation). Requirements: . Doctoral degree (Ph.D.) in any scientific field of study with a strong quantitative background, e.g. mathematics, informatics, statistics, computational neuroscience, biomedical or electrical engineering (with additional qualifications or experience in computational neuroscience a PhD, MD or comparable degree in a relevant field such as psychology, biology, biomedicine, medicine, biophysics or physics may also be sufficient). . Expertise in computational modeling of behavioral and/or imaging data (e.g., Bayesian inference methods and statistics, hidden Markov modeling, machine learning, reinforcement and temporal difference learning or connectivity analyses) . Experience in computer programming (Linux/Unix shell scripting, Python and/or MATLAB) . Some exposure to cognitive and emotional neurosciences . Participation in research activities within the past years . Publications in peer-reviewed journals . Strong organizational skills . Command of some basic German The successful applicant will join a multidisciplinary team of researchers and clinicians, will receive further training and train doctoral students (informally). The Salary will be consistent with levels in accordance with the German Research Foundation (100% TV-L: E 13). Compensation includes health insurance and vacation time. The position is available for a start date as soon as January 20th 2014 (to be confirmed). Review of applications will begin immediately and will continue until the position is filled. The position is guaranteed for two to three years with the possibility of renewal after positive evaluation. The funding has been granted for 5 years. To apply you can use our online portal (http://www.uniklinikum-dresden.de/bildung-und-karriere/stellenangebote/wiss… ). The application should include a cover letter detailing professional objectives and interests, CV (with grades and language skills), and the names and email addresses of two references. The application can be written in German or English. The position is open to qualified international applicants. Please refer to our homepage: http://www.kjp-dresden.de/en/content/eating-disorders , http://tu-dresden.de/die_tu_dresden/fakultaeten/fakultaet_mathematik_und_na…, http://www.kjp-dresden.de/en/content/schizophrenia and http://www.kjp-dresden.de/de/basic-page/publikationsliste-prof-dr-s-ehrlich for more detailed information. ::::::::::::::::::::::::::::::::::::::::: Dipl.-Inf. Daniel Geisler Wissenschaftlicher Mitarbeiter Bereich Angewandte Entwicklungsneurowissenschaften Klinik und Poliklinik für Kinder- und Jugendpsychiatrie und -psychotherapie Fon +49 (0)351 458-7071 Fax +49 (0)351 458-7206 Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden Anstalt des öffentlichen Rechts des Freistaates Sachsen Fetscherstraße 74 (Haus 25, Raum 233A), 01307 Dresden http://www.uniklinikum-dresden.de Vorstand: Prof. Dr. med. D. M. Albrecht (Sprecher), Wilfried E. B. Winzer Vorsitzender des Aufsichtsrates: Prof. Dr. med. Peter C. Scriba USt.-IDNr.: DE 140 135 217, St.-Nr.: 201 145 00020

11 years, 4 months

Fwd:Postdoc position in comparative/computational emotion neuroscience at University of Zurich, starting 2014

by Gary Green

Applications are invited for a post-doctoral position to work on the neurobiology of anxiety and fear. The Comparative Emotion Neuroscience Group (www.bachlab.org) currently hosts 1 PostDoc, 3 PhD students, and several support staff, and is looking for a second post-doctoral fellow. The group’s aim is to develop formal models of animal and human defensive emotions (panic, fear, anxiety), characterise their neuroanatomy and the underlying neural computations using neuroimaging techniques (fMRI, M/EEG) in humans, and apply this knowledge to psychiatric syndromes involving pathological emotions. The laboratory offers a friendly and collaborative research environment, a research-dedicated 3T MRI scanner, a fully equipped psychological/psychophysiological testing facility, access to EEG, and collaboration with MEG and 7T MRI facilities. The position is funded for 3 years and paid according to work experience, usually in grade 18. The lab, behavioural testing facilities, EEG, and 3T scanner are located in the Department of Psychiatry, University of Zurich, Switzerland. The successfull applicant will have either (a) an undergraduate degree in physics/engineering/mathematics/computer science, and a PhD in cognitive neuroscience, or (b) an undergraduate degree in biology/psychology/neuroscience, and a PhD in neuroscience with a computational or technological focus. The candidate will be experienced in human experimentation, in particular fMRI or M/EEG. Fluent English is mandatory, German is not. We are looking for a highly motivated individal with interest in neurobiology who develops independent research ideas within the group’s framework. Starting date is 2014. Applications are accepted until the position is filled. Applicants should send, in one merged PDF, a CV, publication list, letter of intent with a statement of research interest, and the name and contact of two references to: jobs(a)bachlab.org

11 years, 4 months

Fwd: [SPM] PhD position - computational modelling

by Gary Green

Dear colleagues, The *Collaborative Research Center *(CRC) 1052 "Obesity mechanisms" at the Leipzig University Hospital is offering a *PhD studentship in computational modelling* under the supervision of Dr Jane Neumann and Dr Annette Horstmann. Within the project, computational modelling will be used to investigate decision-making and learning in humans by combining genetic, behavioural and magnetic resonance imaging (MRI) data from different modalities. The PhD position will be based at the *Max Planck Institute for Human Cognitive and Brain Sciences* in the beautiful city of *Leipzig*. Both Leipzig‘s long tradition in conducting neuroscientific research and the ultra-modern equipment at the Institute provide an environment that offers new perspectives in neuroimaging research. Further, the position will be part of the CRCs Integrated Research Training Group. This graduate program offers interdisciplinary qualification in various research methods and transferable skills, and provides support in career planning and in establishing an own scientific network. Applicants should hold a Master's degree (or equivalent) in one of the following disciplines: computational or cognitive neuroscience, computer science, mathematics, physics, cognitive science or related. Prior experience in the field of computational neuroscience and/or neuroimaging are of advantage. Sound knowledge of statistics and excellent programming skills are essential. A good command of written and spoken English is requested of all applicants. Please send your application as a single pdf-file to _neumann(a)cbs.mpg.de_ referring to 'Modelling SFB 1052'. Complete applications include cover letter, CV, letter(s) of recommendation, and copies of university degrees and additional certificates. Informal enquiries should be made to Dr Jane Neumann (_neumann(a)cbs.mpg.de_, +49 (0) 341 99 40 26 21). The salary is based on the German E 13 TV-L salary scale. 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. Deadline for application: until position is filled

11 years, 4 months

Fwd: [JOB] Postdoctoral Positions on Infant Brain Segmentation, Registration and Atlas Construction

by Gary Green

Several postdoctoral positions are available in IDEA lab (https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC. Segmentation: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image feature learning and segmentation. Experience on medical image segmentation using deformable surface, level sets, and graph cut is highly desirable. People with machine learning background on image features and shape statistics are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C and C++, scripting, and Matlab) is desirable. The research topic will be the development and validation of segmentation methods for infant brain segmentation and surface reconstruction. Registration: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on feature learning and correspondence detection. Experience on medical image registration is highly desirable. People with experience on pairwise, group-wise and/or 4D registration are particularly encouraged to apply. Knowledge on brain development and also strong background on programming (good command of LINUX, C and C++, scripting, and Matlab) are desirable. The research topic will be the development and validation of 3D, 4D, and group-wise image registration methods for early brain development study. Atlas Construction: Candidates with experience on patch-based sparse representation are encouraged to apply. The research topic will be the development of atlas construction methods for infant brain images. The successful candidates will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's previous work on medical image analysis. If interested, please email resume to Dr. Dinggang Shen (dgshen(a)med.unc.edu <mailto:dgshen@med.unc.edu>).

11 years, 4 months

Fwd: [JOB] Postdoctoral Position on Machine Learning

by Gary Green

A postdoctoral position on machine learning with application to neuroimage-based brain disease diagnosis and prediction is available in UNC-Chapel Hill. The successful candidate should have a strong background on Electronic Engineering, Biomedical Engineering, Statistics, or Computer Science, preferably with emphasis on machine learning, pattern classification, regression methods, or sparse representation. People with strong experience on machine learning are particularly encouraged to apply. The successful candidate will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's previous work on medical image analysis. The research topic will be the development and validation of novel machine learning methods for early diagnosis and prediction of brain disorders. Please visit group website (http://bric.unc.edu/ideagroup) for more information. If interested, please email resume to Dr. Dinggang Shen (dgshen(a)med.unc.edu <mailto:dgshen@med.unc.edu>).

11 years, 4 months

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