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Fwd: Lab Manager Position
by Gary Green 06 Oct '13

06 Oct '13

A Position is open for a Laboratory Manager at the Magnetic Resonance Imaging Center at the Department of Radiology in Temple University located in Philadelphia, Pennsylvania. Candidates with a Master’s degree in a field related to Neuroimaging/Bioengineering/Electrical Engineering, or bachelor’s degree with 2 years’ experience in MR imaging are encouraged to apply for this position. Significant knowledge in neuroimaging particularly in BOLD/diffusion imaging is required. Strong programming experience in Matlab, C/C++ or similar platforms, SPM, FSL, Brain Voyager will be a plus. Good communication skills, documentation and managerial skills are required. *Interested candidates please contact:* Feroze B. Mohamed, Ph.D. (*feroze(a)temple.edu* <mailto:feroze@temple.edu>)

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Fwd: Postdoctoral fellowship in model-based fMRI of psychiatric disorders
by Gary Green 06 Oct '13

06 Oct '13

*Postdoctoral fellowship in model-based fMRI of psychiatric disorders* The lab of Prof. Tiago V. Maia is seeking a postdoctoral fellow to conduct research on model-based fMRI of psychiatric disorders. The lab is located in the School of Medicine of the University of Lisbon (Portugal). There may also be opportunities to spend time at the Department of Psychiatry of Columbia University (USA), where Prof. Maia also has a faculty appointment. Research in the lab focuses on using fMRI, neurocomputational models, and behavioral experimentation to understand the neural bases of cognition and emotion and the disruption of these processes in psychiatric disorders. Additional information, including a list of publications, is available on Prof. Maia's web page: http://childpsych.columbia.edu/brainimaging/CV_maia.html Talented candidates from any background will be considered, but preference will be given to candidates with expertise in one or more of the following areas: fMRI, computational neuroscience, and/or behavioral experimentation. Funding is available immediately for a project investigating reinforcement learning in Tourette syndrome using a combination of computational modeling and fMRI ('model-based fMRI'). The successful candidate would also have opportunities to work on other projects. Candidates should send a CV and a letter describing their research interests to MaiaT(a)nyspi.columbia.edu. Reference letters are preferred but optional at this stage.

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Fwd: Senior Research Associate (at the University of Cambridge)
by Gary Green 06 Oct '13

06 Oct '13

The University of Cambridge, Department of Clinical Neurosciences are looking to recruit a senior research associate* to join the Stroke Research Team. You will play a central role in establishing and developing a major programme of stroke MRI research at Cambridge which focuses particularly on the imaging of patients with ischaemic white matter disease. You will be integrally involved setting up a number of new MRI projects, and also will have access to large existing multimodal MRI datasets which provide an excellent resource for developing novel image analysis techniques and correlating MRI markers with cognitive and clinical parameters. In addition to supervising clinical fellows, other staff involved with image analysis and PhD students, you will be encouraged to develop your own areas of research within stroke imaging and to apply for grants in these areas. You will have a PhD in a relevant area and experience in MR image analysis which ideally should involve brain imaging. Individuals with previous MR experience outside stroke are encouraged to apply and training can be given in the clinical aspects relating to stroke. *NB: The status of Senior Research Associate is awarded on the basis of individual merit and may be awarded to the successful candidate if approved by the Faculty Board of the Cambridge School of Clinical Medicine. For Further Particulars and details on how to apply please go to the University’s job opportunities page : : http://www.jobs.cam.ac.uk/job/1820/

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Fwd: Postdoc positions in the CMRR
by Gary Green 06 Oct '13

06 Oct '13

The CMRR at the University of Minnesota seeks to recruit two additional postdoctoral associates to join the WashU-UMinn Human Connectome Project (HCP). The postholder will be actively working in the component of the HCP that focuses on optimization of data acquisitions and data analysis for resting state and task induced fMRI (R/T-fMRI), and diffusion imaging for high angular resolution diffusion imaging (HARDI), with different subject populations. Responsibililties include: Data acquisition and optimization at 3T and 7T, testing, debugging and optimization at 3T and 7T, evaluating the performance with the RF coils that will be developed within the HCP project, provide feedback and evaluations on RF coil performance, and provide feedback regarding resting state and diffusion data pre-processing. More information can be found at : https://employment.umn.edu/applicants/jsp/shared/position/JobDetails_css.js… (requisition number 187166)

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Resting state workshop 10th of October
by Jonny Smallwood 03 Oct '13

03 Oct '13

Hi Everyone As some of you may be aware we will hold a workshop at YNIC focused on resting fMRI on the 10th of October. The purpose of this workshop will be to familiarise attendees with the techniques and applications of resting state both as a powerful tool for realising brain structure and function, but also to consider its applications for understanding the mind. Everyone is welcome and there is no cost to attend. See attached flyer for further details. Looking forward to seeing you all there. Please forward to people you think maybe interested. Jonny

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mailing list submission
by Xiaoqian Yan 02 Oct '13

02 Oct '13

Hi, I am xiaoqian, the new phd student working with andy young. I would like to attend the ynic seminar, so would you please add me to the mailing list? Many thanks, xiaoqian

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Dinner with external speaker: Daniel Margulies
by Jonny Smallwood 02 Oct '13

02 Oct '13

Hi Everyone, Next week I am hosting the external speaker next week. I will be taking Dr Margulies out for dinner after the talk to continue discussions on the work he presented, to as yet unknown venue. Daniel is great fun to hangout with, so if anyone would like to come along please let me know and I will include you in the plans. Jonny

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resting state workshop
by Gary Green 02 Oct '13

02 Oct '13

Please read the attached concerning a workshop about resting state networks in the brain October 10th at YNiC All welcome Gary -- Gary Green Director York Neuroimaging Centre The Biocentre York Science Park Innovation Way Heslington York YO10 5NY http://www.ynic.york.ac.uk https://www.ynic.york.ac.uk/about-us/people/ggrg tel. +44 (0) 1904 435349 PA - Claire Fox : +44 (0) 1904 435329 fax +44 (0) 1904 435356 mobile +44 (0) 788 191 3004

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Fwd: Postdoc Position in Modelling Functional Whole Brain Connectivity from fMRI
by Gary Green 28 Sep '13

28 Sep '13

*Postdoc Position in Modelling Functional Whole Brain Connectivity from fMRI* * * DTU Compute, Technical University of Denmark would like to invite applications for a 1-year Post Doc position starting as early as 1 November 2013, with possibility for an extension to two years. *Project Description* Functional magnetic resonance imaging (fMRI) has become a key non-invasive brain imaging technique used to quantify the functional connectivity of the brain. While this imaging modality can be used to derive connectivity estimates inferring the global patterns of functional connectivity at the whole brain level poses an important modeling challenge. The main goal of this project is to develop and apply tools for the modeling of whole brain functional connectivity based on fMRI data. Key components in the project include fMRI data processing and connectivity analysis using Bayesian modeling approaches. The project will be based on current work on non-parametric Bayesian models of brain connectivity and will be part of a larger project “Non-parametric Relational Modelling of Functional and Structural Brain Connectivity” funded by the Lundbeck Foundation (2012-2017) aiming at inferring whole brain connectivity from fMRI and diffusion MRI data. *Qualifications* Candidates must have a PhD degree in engineering or equivalent academic qualifications. Experience in multivariate modeling approaches for neuroimaging data in general and fMRI data in particular is a definite advantage. Proficiency programming in Matlab and using fMRI neuroimaging software is also important while the applicant is expected to have a basic knowledge about the human brain. Excellent communication skills in English are essential. *We offer* We offer an interesting and challenging job in an international environment focusing on education, research, public-sector consultancy and innovation, which contribute to enhancing the economy and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. The Technical University of Denmark (DTU) is a leading technical university in northern Europe and benchmarks with the best universities in the world. *Salary and terms of appointment* The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union. *Further Information* Further information concerning the available position can be obtained from Associate Professor Morten Mørup <mailto:mm@imm.dtu.dk> at Section for Cognitive Systems, DTU Compute, Technical University of Denmark or Senior Researcher Kristoffer Hougaard Madsen <mailto:kristofferm@drcmr.dk>at Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre. *Application procedure: *Please submit your online application no later than *20 October 2013*. Applications must be submitted as *one PDF file *containing all materials to be given consideration. To apply, please visit http://www.compute.dtu.dk/english/about_us/vacant_jobs/a58fd704-92b0-495c-a… and open the link "Apply online”, fill in the online application form, and attach *all your materials in English in one PDF file*. The file must include: ·Application (cover letter) ·CV ·Diploma ·List of publications Applications and enclosures received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. /DTU Compute conducts research and education in the fields of mathematical modelling and computer science. The expanding mass of information and the increasingly complex use of advanced technology in society demand development of advanced computer based mathematical models and calculations. The unique competences of the institute are in demand in IT innovation and production. DTU is a technical university providing internationally leading research, education, innovation and public service. Our staff of 5,000 advance science and technology to create innovative solutions that meet the demands of society; and our 9,000 students are educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies./

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Fwd: [SPM] PhD Studentship
by Gary Green 28 Sep '13

28 Sep '13

UCL Institute of Neurology, Wellcome Trust Centre for Neuroimaging PhD Studentship: A framework for tracking changes in MRI data of the spinal cord and brain. Applications are invited for a PhD studentship at the Wellcome Trust Centre for Neuroimaging (WTCN) under the supervision of Prof. John Ashburner and in collaboration with the Spinal Cord Injury Center, University of Zurich. The anticipated start date is 1^st Nov, 2013. Project The work will involve developing computing frameworks to address both of the following challenges: *Atlas of the head and neck.* Develop a framework for learning tissue probability atlases from large datasets of MRI scans. The primary aim will be to extend our existing brain image segmentation approach [1] (released with our Statistical Parametric Mapping software – SPM -http://www.fil.ion.ucl.ac.uk/spm) to use atlas data from both head and neck. This would allow clinicians to more easily analyse MRI data of patients with neurological diseases involving the spinal cord. The framework should generalise to MRI scans of all body parts, both human and non-human. The project may require some parts of a relatively small number of scans to be manually segmented, with the aim of generalising these segmentations to other scans. *Longitudinal change modelling.* Anatomical MRI scans of the head and neck, collected at a number of time points following a spinal incidence such as trauma, allow atrophy rates to be determined via longitudinal image registration procedures. Image registration essentially forms a generative model of the underlying atrophy [2], described by a set of differential equations. The project will involve developing a more realistic longitudinal model of atrophy (and possible recovery) for data containing data from more than two time points. This may involve parameterising longitudinal changes in terms of both rates of change (ie velocity) and its acceleration or deceleration. [1] Ashburner, J & KJ Friston (2005). /Unified segmentation/. NeuroImage 26(3):839–851. [2] Ashburner J & GR Ridgway (2013). /Symmetric diffeomorphic modeling of longitudinal structural MRI/. Frontiers in neuroscience 6. Environment The student will be tightly integrated in our world-leading lab at UCL, primarily supervised by Prof. Ashburner. The student will have the opportunity to attend UCL courses in relevant subject areas, as well as to interact with students and postdoctoral researchers from other departments. Funding The studentship is funded for 3 years (1^st Nov, 2013 – 31^st Oct, 2016) and will cover UK/EU university tuition fees and an annual stipend of £18,000 (tax free). Note that overseas candidates (i.e., non EU/UK) can only be considered if they provide formal proof, at the time of application, of a scholarship which funds the additional overseas tuition fees. Person specification * At least a 2:1 BSc in a mathematical subject (or equivalent EU/overseas degree), but ideally an outstanding MSc in a related area. * Strong analytical/mathematical skills, ideally with some knowledge of Bayesian modelling approaches. * Programming experience, preferably high proficiency in MATLAB and C/C++. * An interest in medical image processing, and a desire to learn more. * Good communication skills - especially in written English. * A strong work ethic, with the ability to think creatively and work independently. Duties and Responsibilities * Develop models for MR images under the direction of Prof. Ashburner. * Implement and maintain the software arising from the PhD work. * Work in collaboration with clinical researchers and MR physicists, who will help guide the project and who may need some training in making use of the PhD work. * Prepare progress reports on research as required. * Prepare manuscripts for submission to peer-reviewed journals. * Prepare presentations, including text and images, for delivery by self and others. * Travel for training, collaboration and other meetings or conferences. * Contribute to the overall activities of the research team and department as required. * Maintain an awareness and observation of Fire and Health and Safety Regulations at UCL and other facilities to be visited. Actively follow UCL policies including Equal Opportunities and Race Equality policies. Informal enquiries Please email Prof. John Ashburner for further information about the project (j.ashburner(a)ucl.ac.uk <mailto:j.ashburner@ucl.ac.uk>). Application procedures Application is by CV and covering letter (including motivation for applying) emailed to ion.educationunit(a)ucl.ac.uk <mailto:ion.educationunit@ucl.ac.uk>. Candidates short-listed for interview will be required to give a short research presentation. Please put “WTCN Spine Studentship” in the subject line. Closing Date: 14^th October, 2013

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