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Field
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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those with good numeracy and
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; Chemistry; Computer Science; Ecology; Engineering; Environmental Sciences; Mathematics/Mathematical Sciences; Medicine; Natural Sciences; Physics; Psychology; Veterinary Sciences. This Fellowship is intended
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whose interests range from discovering new cancer treatments, and advancing quantum computing, to evidencing the impact of social media on children’s mental health. “These prestigious awards offer a rare
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We are looking for a motivated research fellow for an exciting MRC-JPIAMR funded project, titled FightAMR: Novel global One Health surveillance approach to fight AMR using Artificial Intelligence and big data mining. The research fellow will take a leading role in an EU-Africa research project,...
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the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. - To acquire, analyse
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an ambitious programme combining collaborative work with health researchers and the development of novel statistical methods to address complex biomedical challenges. About the role The postholder will join the
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their proposed programme necessitates a Leverhulme ECF rather than a project grant or alternative postdoctoral fellowship; and why King’s College London is an appropriate host for them and their research project
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university/spinout environment. This is a unique opportunity to work at the forefront of applied research and innovation, helping translate novel control algorithms and hardware prototypes into real-world
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role