727 post-doc-image-engineering-computer-vision Postdoctoral positions in United Kingdom
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multiple sclerosis under different treatment exposures. You will contribute to delivery of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across
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period of 12 months in the first instance, with potential to extend. The project involves advanced theory for new ultrafast imaging experiments and is funded by Engineering and Physical Sciences Research
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infrastructure as part of the ROSEHIPS multi-institution program grant (EP/W005816/1, pbshm.ac.uk). The researcher will be based with a sub-team of researchers from the Vibration Engineering Section
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cognitive neuroscience and imaging background, with an interest in connecting brain data to cognitive theories of compulsivity. You should also have a rich experience with neuroimaging methods and data
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of a south London schools health research network, with the King’s Maudsley Partnership for Children and Young People. The two post-doctoral Associates will work on all aspects of the programme, but with
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preferences for further information and to change your choices. Accept all cookies Skip to main content Skip to main menu Skip to user menu Log In or Create Account Recruiters: Post a Job Home Find a job Job
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, neuroscience or computer science Proficiency in Python, R, Matlab, or another relevant programming language Expertise in integrated analysis of behavioural and imaging data. Experience working with children in
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and Young People. The two post-doctoral Associates will work on all aspects of the programme, but with differences in emphasis. (1) One post holder will primarily lead on analyses of REACH
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biophysics, and cutting-edge analytical technologies. Your expertise in optical microscopy, single molecule imaging, computational imaging and data analysis will help us further develop mass photometry and
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Full Time: 35 hours per week Fixed Term: 30 months We are looking for a Post-Doctoral Research Associate to map the early radiation of land plants using a combination of 3D imaging approaches