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of statistical algorithms. Duties include undertaking your own programme of research and assisting with ongoing research programmes, using databases, modelling, and computation as appropriate; writing up results
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& F). At Grade F, the postholder will also contribute to identifying sources of research funding and to the process of securing external funding. Applicants will hold a PhD or equivalent qualification
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-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception of cancers. It represents a major, multi-million-pound
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About the job: As a part of the 14CHRONO team, the research fellow will lead a programme of research and development into novel thermally-driven evolved gas analysis (EGA) molecular separation
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conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities
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policy on child online safety, identifying legislative gaps, addressing emerging risks from AI, VR and new technologies, and conducting cutting-edge research. This is an exciting opportunity to contribute
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programme, Deep Molecular Phenotyping of Metastatic Breast Cancer. This ambitious, interdisciplinary project aims to generate an integrated, multi-omic understanding of secondary (metastatic) breast cancer
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an ongoing programme focused on metabolic profiling and target validation to support TB drug discovery. The role will involve the application of liquid chromatography–mass spectrometry (LC-MS
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they may need to further develop (and for which we will provide support). The applicant will also be expected to work side-by-side with staff recruited in computer science and the wider academic team
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, efficiency, and safety. Collaborating with academic and industrial partners to ensure project milestones are achieved on time. Preparing high-quality technical documentation, academic papers, and reports