167 computer-programmer-"FEMTO-ST"-"FEMTO-ST-institute"-"FEMTO-ST" positions at University of London
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– a £43.6M national programme co-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing
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The University of London The University of London is a leading UK provider of distance and digital education internationally, offering programmes to 45,000 students in 190 countries around the
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of hands-on exposure to a range of hardware, making this an exciting opening for a skilled candidate wishing to work in the stimulating area of High Performance Computing, This is a hybrid role with a
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the Young Stars and Planets Working Group in PLATO and has multiple Guest Investigator programmes with TESS), (ii) determining planet occurrence rates as a function of time (from 1 Myr – 10 Gyr), and (iii
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About the Role We are looking for an enthusiastic, self-motivated Information Systems and Data Management Officer to join our expanding team of data management and IT staff supporting a growing portfolio of clinical trials. The postholder will provide support on activities related to data...
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postgraduate programmes in veterinary medicine, veterinary nursing, and biological sciences and CPD programmes in veterinary medicine and veterinary nursing. Registry is developing the Ethics administration team
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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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strategic plan, also have Centre-specific objectives and requirements. The Centre for Cancer Screening, Prevention and Early Diagnosis (CCSPED) forms part of the WIPH and brings together globally leading
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resulting datasets using statistical and computational tools. They will also contribute to molecular workflows including DNA/RNA extraction, qPCR and sequencing preparation, and support cellular immunology
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. Proficiency in statistical methods, programming (including Linux), and use of high-performance computing clusters and parallel computation is expected, along with a clear research vision to enhance the Unit’s