23 computional-geometry Postdoctoral positions at KINGS COLLEGE LONDON in United Kingdom
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About us The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics
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will join a team of researchers, clinicians, and patient partners on a 5-year collaborative research programme funded by a Wellcome Mental Health Award, ‘When your body betrays you: interoceptive
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises the Departments of Chemistry, Informatics, Mathematics, Physics. The Department of Mathematics has a
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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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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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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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& 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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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
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. signalling. Research experience with animal (mouse) work. Good verbal and written communication skills. Good practical and organisation skills. Computer skills (Office, information technology, bioinformatics
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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