65 parallel-computing-numerical-methods-"Prof" research jobs at University of Cambridge
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the context of computing Familiarity with research tools and methods, including statistics platforms like R and/or thematic analysis Knowledge of user-centred design and research methods involving human
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local contexts. The successful candidate will be encouraged to contribute to all components of the group's programme but will be expected to i) map the range of primary and community health services
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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-temperature reactor technology; experience in developing mathematical, numerical and computational models; the ability to work as part of a team with excellent communication skills. Appointment at Research Associate
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the starting date is negotiable. The current funding is guaranteed from the Montague Burton Fund. We are looking for a candidate who is a health economist with excellent computational skills. The post is
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-generation AI hardware (ASIC) accelerators. The UK's Advanced Research Invention Agency (ARIA) is supporting an ambitious programme of work that aims to reduce the the cost of AI by more than 1000x: https
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between the Universities of Cambridge and Bonn and numerous international partners, and funded by Stiftung Mercator. The programme investigates how to place the questions of social justice and environmental
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at the Yusuf Hamied Department of Chemistry, University of Cambridge to work on the BBSRC grant "A Platform for Identifying GlycoRNA and Identifying Biases in RNA Pulldown". The role is to develop methods
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equitable. This UKRI Frontier project was selected for funding by the European Research Council (ERC) and is led by Prof. Anna Korhonen. The goal of the project is to investigate the challenges in
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The VISIONLab, led by Prof. Sarah Bohndiek, create and deploy state-of-the-art spectroscopic imaging tools to improve early cancer detection. We are co-located in the Department of Physics and the