306 machine-learning-"https:" "https:" "https:" "UCL" "UCL" Postdoctoral research jobs in United Kingdom
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all our activities: research, teaching, learning, enterprise and community engagement. Founded in 1826, UCL was the first university in England to admit students regardless of race, religion or gender
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Founded in 1902, UCL Institute of Education has been shaping policy and helping government, organisations and individuals navigate a changing society for the last 120 years. We embrace
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background knowledge in statistical genetics, machine learning, omics data analysis, and computational biology. Additional knowledge in transcriptomics, statistics, and foundation models is also desired. Fixed
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learning to improve detection using multiphase CT imaging and longitudinal biomarker data in routine practice. You will work with multidisciplinary clinical and AI teams on applied research, developing and
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, cardiovascular diseases and rare diseases. This specific role focuses on engineering CAR-T cells and developing programmable gene control systems to improve safety and therapeutic efficacy. The successful
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London (UCL). The project brings the complementary expertise of leading industry and UK research groups, to research, design and experimentally demonstrate systems working in typical deployment scenarios
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together leading researchers from Oxford, Cambridge, UCL, and Glasgow to develop next-generation brain stimulation and modulation systems. We are looking for a Postdoctoral Research Assistant in
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City of London Major Centre (together with UCL, King’s and the Francis Crick Institute) which is a Centre of Excellence in Biotherapeutics. BCI is committed in supporting and developing future cancer
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clinician scientists to achieve improvements in cancer patient care. BCI is also a partner in the CRUK City of London Major Centre (together with UCL, Kings and the Francis Crick Institute) which is a Centre
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CANDIDATES ONLY About Us The applicant will join the Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. We are a highly collaborative