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London School of Economics and Political Science; | London, England | United Kingdom | about 2 months ago
economics, computer science, or a closely related quantitative field. A first-class or equivalent degree is strongly desirable. The candidate should have experience and programming proficiency in R and/or
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for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline Extensive experience and expertise in applying/developing and
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digital tools. One such tool, developed through the Cluster-AIM programme, uses social care and health data to identify people at risk of escalating social care needs. About the role You will support the
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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are an active and vibrant department, with a strong cohort of early career academics and future leaders. As a PDRA in computational chemistry at Durham, you will have access to state-of-the-art instrumentation
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: Essential criteria PhD in bioinformatics, computational biology, or a related discipline Extensive experience and expertise in applying/developing and training deep learning models on biological, chemical or
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, economic viability, and robustness to realistic operational uncertainty. PhD (or equivalent) in control engineering or closely related discipline. Track record in at least two areas: model predictive control
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"NNZA: Decarbonisation of data centres using novel thermochemical technology" is funded by the Engineering and Physical Sciences Research Council (EPSRC) Northern Net Zero Accelerator (NNZA) Program. The