504 postdoc-computational-fluid-dynamics-2017 Postdoctoral positions in United Kingdom
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behaviour of so-called yield stress fluids, which keep their shape like solids at low loads, yet flow like a liquid at larger loads. One possible focus could be on the dynamical process whereby a material in
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Institute and Centre Lead for Cancer Genomics and Computational Biology at Barts Cancer Institute, Queen Mary University of London). We welcome applications from all qualified candidates. Research staff
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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needed and depending on interest, teaching and other research infrastructure support. General qualifications: As expected for a computational-science postdoc or doctoral student position in your field
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Population and Data Science. The Institute was ranked the number one place in the world to study ophthalmology (CWUR 2017 world rankings), attracting principal investigators, post-doctoral fellows and PhD
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weighting The Department of Computer Science seeks to employ a postdoctoral researcher to work on a new project in the area of LLMs/multi-agent systems, under the direction of PI Professor Michael Wooldridge
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settings. We are seeking a highly motivated postdoc to conduct research into this fast-moving area. Directions may include investigating quality evaluation methods for multi-agent systems, attack surfaces
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lurking at galaxy centres using molecular gas dynamics, this for both nearby and distant (using strong gravitational lensing) galaxies. Candidates working on any aspect of WISDOM will be considered
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annum inclusive of Oxford University weighting Potential to under fill at grade 06RS: £34,982-£40,855 per annum inclusive of Oxford University weighting The Department of Computer Science seeks to employ
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic