20 computer-programmer-"Multiple"-"Sun-Yat-Sen-University"-"U" Postdoctoral positions in United Kingdom
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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support needs of minoritised ethnic people with multiple long-term conditions, and transform how healthcare providers, communities and policymakers construct, respond to, and support them in local and
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the National Quantum Computing Centre (NQCC, link: https://www.nqcc.co.uk ) with a particular focus on research related to the UK Testbed Programme (link: https://www.nqcc.ac.uk/quantum-computing-testbeds-in
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support needs of minoritised ethnic people with multiple long-term conditions, and transform how healthcare providers, communities and policymakers construct, respond to, and support them in local and
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to work on a new study funded by the Wellcome Trust. The aim of this project is to advance understanding of the lived experiences and support needs of minoritised ethnic people with multiple long-term
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available from 1st September 2025 for one year in the first instance. The successful applicant will plan, conduct and analyse qualitative ‘think aloud’ interviews with those living with multiple long-term
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& Neuroscience (IoPPN), the post-holder will support a five-year programme of research across three priority areas related to substance use and mental health. Working under the direction of Professor Paolo Deluca
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team and is interested in joining a programme of discovery research which aims to better our understanding of the underlying mechanisms that drive late-stage kidney damage in people with and without
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largest protein/peptide mimotope dataset foundational for advancing any peptide-based drug discovery programme. The ERC PoC PepVerse project focuses on increasing the technology readiness of this platform
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posters locally and at national and international conferences, as well as participate in MRC grant’s research programme led by Prof Marco Fritzsche. You must hold a relevant PhD/DPhil (or be near completion