25 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs at University of London
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are part of a programme of work in the newly established Queen Mary and Barts Health Tuberculosis Centre, led by an internationally respected group of clinicians and researchers. About You We are looking
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level in the relevant subject area for the research programme; with a productive track record and have experience covering the full range of duties required. About the Institution The Faculty of Medicine
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degree and PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have
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the Course Director Nicky Longley, the Centre for Excellence in Learning and Teaching (CELT) multimedia team, and colleagues across LSHTM to design, develop, and deliver an innovative online programme. They
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of program training opportunity About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we’ve fostered
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computational modelling and design optimisation. You will run CFD and fluid-structure-interaction simulations. You will develop models, analyse results and collaborate with partners to inform design. The role
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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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disseminating various types of research documents. The job will involve close collaboration with research groups across national and international programmes, monitoring and summarising new developments in
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statistical computing packages is essential to this post. Further particulars are included in the job description. The post is part-time, 17.5 hours per week, 0.5 FTE and fixed-term until 31 August 2026 in
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biology, detailed knowledge and laboratory experience in molecular biology, in particular familiarity with DNA isolation, PCR genotyping, ONT-based NGS sequencing and analysis with relevant computer and