647 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions in United Kingdom
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We are seeking a creative and highly motivated postdoctoral researcher to join the Turing AI World-Leading Fellowship research programme led by Professor Alison Noble. This exciting and ambitious
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for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. PhD degree in Engineering, Computer Science
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conferences • Conduct literature searches and reviews • Attend conferences/workshops and present papers as required You Should Have: • PhD or near completion of a doctoral degree in a relevant
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, and the Tees to Topping Green Corridor running into and out of Middlesbrough. These three green corridors are part of an ambitious programme being led by the National Trust to help work in partnership
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. Attend conferences/workshops and present papers as required. You Should Have: PhD or near completion of a doctoral degree in a relevant subject Recent experience in research within higher education or
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capable of driving the project forward. The ideal candidate: The ideal candidate will possess (or soon complete) a PhD in Theoretical Physics, Bio-Mathematics or Computational Biology. They will possess a
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to follow this initial post. Applicants should hold a PhD (or equivalent) involving neuroimaging, cognitive neuroscience or a related field. Experience in MEG/OPM-MEG acquisition and data analysis is
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schizophrenia-related symptoms in animal models (mice), in the context of a collaborative project with clinicians and computational scientists. This project will be supervised by Prof Oscar Marin and Prof Beatriz
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clinicians and computational scientists. This project will be supervised by Prof Oscar Marin and Prof Beatriz Rico. Candidates should have strong experience in stereotaxic surgeries and Electrophysiology
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system with integrated sensors. You should hold or be near completion of a PhD/DPhil with relevant experience in the field of robotics, biomedical engineering, information engineering, electrical