24 distributed-computing-"Meta"-"Meta" Postdoctoral positions at KINGS COLLEGE LONDON
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Experience in analysing drugs and metabolites from human breastmilk Competency in using computer software to collect and process data, e.g. use of Excel, statistical software and machine learning approaches
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role in the delivery of a high-profile and innovative research project funded by the National Institute for Health and Care Research (NIHR). The ENHANCED research programme aims to harness the power
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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& wider impact work). Secondly, you will do qualitative research with Prof. Ben Geiger and Prof. Karen Glaser as part of CSMH’s programme on ‘Work, Welfare Reform and Mental Health’. In particular, you will
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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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of the eukaryotic cytoskeleton and/or virology General proficiency in computing, including an understanding of high-performance computing clusters Downloading a copy of our Job Description Full details of the role
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are looking for candidates to have the following skills and experience Essential criteria PhD qualified in relevant subject area for the research programme (e.g. Cell Biology, Cell Signalling, gene editing
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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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Excellent inter-personal skills with an ability to work co-operatively in a multidisciplinary setting Experience with manuscript and grant/fellowship preparation Desirable criteria Experience in computational
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project, AMBER, to identify the causal determinants of antidepressant response. Our programme of genetic, informatic and cellular work will give insights into the ‘active ingredients’ of anti-depressants