438 computer-programmer-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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, there will be a programme of support and mentoring available to you. Successful applicants will be offered a place on our RISE Research Leadership Academy , which is designed to develop candidates' leadership
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qualification. Background knowledge and experience in engineering and computer science disciplines and in areas such as CFD post-processing (OpenFOAM), wind turbine renewable energy systems, big data management
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You must apply through the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search
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The rapid growth of deep learning has come at an extraordinary environmental and computational cost, yet the standard training paradigm remains remarkably unchanged. Every sample is passed through
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at the intersection of theory, computation, and high‑fidelity simulation, the successful candidate will contribute to the development of a novel ensemble-based framework for analysing driven perturbations in wall
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engineering, materials science, chemistry or a related discipline, with enthusiasm for experimental research and computational modelling. Excellent communication skills and the ability to work collaboratively
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energy research, combining laboratory experimentation, computational modelling, and data analysis. Experimental work will be carried out in the world class COAST laboratory, examining floating offshore
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Tamara Rogers (tamara.rogers@ncl.ac.uk) . Key Accountabilities Develop computational models to simulate magnetohydrodynamics in the outer layers of a typical Hot Jupiter. Generate, analyse and interpret
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, computer science, or a closely related discipline (typically first-class or high 2:1, or equivalent; Master’s welcome) • Strong programming skills (for example Python, MATLAB, C/C++) • Strength in at least two of
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and determination? We are currently seeking a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective