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Field
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fellowships. About You The ideal candidate will hold (or near completion of) a PhD/DPhil in computational cognitive neuroscience/psychology, computer science, or relevant quantitative field, and a demonstrably
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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
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of the research programme is to develop EHR common data model specifications and to advance knowledge in the field of psychiatry EHR research, including clinical risk prediction modelling. The appointee will work
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and PhD students) and openly share expertise knowledge with team members (e.g. Post-docs). Collaborate with other two post-docs working in this research programme, to deliver on project aims. Contribute
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PhD in Neuroscience, Psychology, or related fields, and an interest in the neural mechanisms underlying motivated behavioral decision-making. A quantitative background, experience in imaging
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degree in Biological Sciences, Neuroscience, Pharmacology or Physiology and Biophysics required; Requires successful completion of a background check. Selected candidate may be requested to complete a pre
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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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neuroscience or a related field. Experience of MEG/OPM-MEG acquisition and data analysis is essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential
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. Qualification Standards Education: PhD or MD degree (or equivalent) in any field in the life sciences is required, a degree in molecular/developmental biology or neuroscience is preferred. Successful experience
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a highly motivated Postdoctoral Associate in the Clinical and Affective Neuroscience Lab (Lab Director: David Zald, PhD), housed within the Center for Advanced Human Brain Imaging Research (CAHBIR