21 distributed-systems-networks-phd Postdoctoral positions at University of London in Uk
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uncertainty. Relevant areas include interpretable probabilistic, causal, Bayesian, and knowledge-based networks. While expertise in electromagnetics is not essential, applicants must be willing to broaden
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scientific career. Demonstrable knowledge and a PhD (or close to completion) in the field of stem cell biology is essential. Previous experience in cardiovascular biology, molecular biology and
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Computer Science or a related topic. Applicants at the PDRA level must have a PhD in NLP or machine learning. Substantial knowledge of Natural Language Processing (NLP) and machine learning methods is essential, as
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researchers at Queen Mary University of London (Dr Margherita Malanchini) and King’s College London (Professor Robert Plomin), contributing to a broader network of PhD students and postdoctoral researchers. Key
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machine learning under real life constraints of clinical integration/validation and healthcare regulatory translation/commercialisation. The position is part of the project `Integrated autofluorescence
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. Applicants should have a PhD in Cultural Geography, Environmental Arts or a closely related field; knowledge of current climate- and ocean-related scholarship in the Blue Humanities; a track record of
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Studies BAC4RumA “Bacteriocin-rich extract from engineered lactic acid bacteria as an antibiotic alternative for therapeutic and prophylactic use in ruminants and aquaculture” is looking to appoint a
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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
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incubator cleaning etc. About You We are seeking a junior postdoctoral candidate, ideally holding a PhD in Immunology or Inflammation biology. Experience of in vivo work, flow cytometry and imaging will be
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About the Role Dr Riches is seeking a talented and motivated post-doctoral research scientist to understand the role of amino acid metabolism in lymphoma biology. This project will use a variety of