155 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at King's College London
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: Biostatistics & Health Informatics. Contact details:Victoria Ratti. victoria.1.ratti@kcl.ac.uk Location: Denmark Hill Campus. Category: Research. About us: Applications are invited for a Postdoctoral Research
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in computational molecular science or similar relevant subject area * Experience in
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Sci. Department: Informatics. Contact details:Martin Albrecht. martin.albrecht@kcl.ac.uk Location: Strand Campus. Category: Research. About us The Department of Informatics is looking to appoint a
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of London. We are a dynamic Department with a diverse team of academics, PDRAs, and PhDs. About the role We are seeking a highly motivated researcher, holding a PhD degree in engineering or related discipline
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. This includes supporting flagship initiatives such as the annual Three Minute Thesis competition. You will take responsibility for supporting the Health Sciences Doctoral Training Centre (HSDTC) programme
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integrative cell biology and biophysics of cell polarity and systems quantitative biology. The successful candidate will be expected to lead an interdisciplinary, dynamic and forward-looking programme in cell
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: Essential criteria PhD in bioinformatics, computational biology, or a related discipline Extensive experience and expertise in applying/developing and training deep learning models on biological, chemical or
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history of philosophy, philosophy of mind and psychology, philosophy of language and linguistics, metaphysics, epistemology, and philosophy of science and ethics and political philosophy. About the role We
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research programme, titled Collective Action for Race Equity in Health and Social Care (CARE-HSC), aims to address and dismantle structural factors that perpetuate racial discrimination and harassment within
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or