394 coding-"https:"-"FEMTO-ST"-"L2CM"-"CSIC"-"P"-"University-of-Reading" positions in United Kingdom
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness
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. Today, performance programming is no longer limited to optimizing low-level code. It often includes using domain-specific compilers, constraint programming libraries, complex performance models, and
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Responsibilities, Accountabilities and Duties: Undertake qualitative interviews Process and manage interview data Code and analyse qualitative interviews Maintain accurate and complete records of all research data
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applications for the prestigious Newton International Fellowship (https://royalsociety.org/grants/newton-international/ ) in the field of Geotechnical Engineering. Candidates with expertise and a strong research
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Ramboll and Buro Happold who work across diverse projects with key clients focused
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families of quantum codes such as permutation invariant codes and some bosonic codes. This PhD will explore the theoretical application and optimisation of these quantum codes for quantum technologies
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Location(s) Number of offers available1Company/InstituteUniversity of NottinghamCountryUnited KingdomCityNottinghamGeofield Contact City Nottingham Website http://www.nottingham.ac.uk/ Postal Code NG7 2RD
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, modeling and Remote-sensing to Transform carbon budgets, CLARiTy’ (https://www.schmidtsciences.org/vicc/) will reduce the persistently high land flux uncertainties in GCB by an order of magnitude. To achieve
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, engineering, mathematics, etc.), along with prior experience analysing electronic health records data from large mental health electronic health records systems. Demonstrable ability to write code in R and/or
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mathematical and coding skills (Python); Experience with software kits for building, testing, and deploying AI models (e.g. Pytorch, TensorFlow); Knowledge of version control systems (GIT); Expertise in running