45 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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the Department of Computer Science and Engineering, at the University of Cambridge, UK. The Postdoc will work across several projects, interfacing with teams of students and research collaborators on developing
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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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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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Fixed-term: The funds for this post are available for 1 year. Applications are invited for a Research Associate (Postdoc) to join the Prorok Lab in the Department of Computer Science and Technology
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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
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A Copy Writer position has become available as part of the Climate Compatible Growth (CCG) programme, an exciting research programme involving leading UK universities and KTH Sweden. CCG is funded