40 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at KINGS COLLEGE LONDON
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development laboratories at Guy’s Campus, London Bridge. The group specialises in inventing custom fluorescence-lifetime and multiphoton technologies and coupling them with powerful computational pipelines
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work closely with Prof. Hanna Kienzler, Prof. Stephani Hatch, and Dr Rebecca Rhead as part of the Centre’s ‘Marginalised Communities’ programme. This involves partnering with Black and racially
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of York. Based within the Addictions Department at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), the post-holder will support a five-year programme of research across three priority areas
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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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criteria PhD in Neuroscience or near to completion* At least one first-author publication in a scientific journal Extensive experience working with mice Extensive experience analysing single-cell RNA
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range of mental health challenges. You will work closely with an experienced research team, which includes postdoctoral researchers, PhD students, and clinical experts. About the role: This is an exciting
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you will be offered an 18 month fixed term contract. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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, regenerative biology, or olfaction Interest in microbiome-host interactions Experience of molecular biology PhD in a relevant area Experience of imaging Team worker Desirable criteria Original research