377 coding-"https:"-"FEMTO-ST"-"L2CM"-"CSIC"-"P"-"Inserm"-"U"-"UCL" 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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Full Time / Fixed Term contract till 31st January 2027 The closing date for applications is 23.59 on 31st January 2026 By reference to the applicable SOC code for this role, sponsorship may be
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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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, 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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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
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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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systems. Demonstrable ability to write code in R and/or Python in such a way that data analysis can be streamlined is essential as is the ability to apply fundamental data science techniques. Experience