23 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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collaboration with project partners and members of the CDA Group. The role is funded for up to 24 months in the first instance, with an expected start date of October 2025. About You This post is suited to a PhD
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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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