40 post-doc-image-engineering-computer-vision Postdoctoral positions at KINGS COLLEGE LONDON
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this qualitative data, as part of an international team with the four other post-docs plus other researchers, as well as to do other tasks related to the project (inc. supporting coproduction, other work packages
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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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to develop coupled sub-models within a system dynamics framework. Working with colleagues from the Karlsruhe Institute of Technology, the candidate will build a behavioural sub-model using the CRAFTY GB model
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-legal Studies, Science and Technology Studies (completed, or to be completed before post start date), or a cognate field. Experience of qualitative archival or interview-based research methods in a
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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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the laboratories of Professor Julian Naglik and Dr Jonathan Richardson at King’s College London, where they will produce independent, original research within the group. This is a full-time post (35 hours per week
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national contexts. The post holder will be based at the Department of Global Health & Social Medicine; a unique interdisciplinary community that connects social scientists, biomedical researchers and
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, the post-holder will be working in close collaboration with a multidisciplinary team of researchers in Guy’s Campus, Denmark Hill and UCL. About the role: To investigate the cellular mechanisms underlying
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role in the delivery of a high-profile and innovative research project funded by NHS England. The LeDeR programme aims to analyse mortality data collected nationally and conduct deep dives in specific
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cytometry will be an advantage. The project has a major computational component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by