49 computer "https:" "https:" "https:" "https:" "U.S" "UCL" "UCL" "UCL" PhD research jobs in United Kingdom
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qualifications and experiences needed for entry at a particular level. Find out more about the Faculty of Science, Agriculture and Engineering here: https://www.ncl.ac.uk/sage/ Find out more about our Research
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: https://www.brunel.ac.uk/about/our-history/home The Centre for Advanced Powertrain and Fuels (CAPF) at Brunel University London invites applications for a Research Assistant / PhD position as part of
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inclusive society programme. The project aims to address key challenges on enhancing climate resilience and sustainable development in rural and small urban communities by implementing transformative nature
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relevant environments. What we are looking for: PhD (or near completion) in Robotics, Artificial Intelligence, Computer Science, Control Engineering, or a related discipline; candidates without a PhD will be
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We are recruiting for an exciting research role as a Research Assistant/Data Coordinator, for the Children’s Surgery Outcome Reporting (CSOR) programme. This position is ideal for candidates with
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., statistical modelling, Artificial Intelligence/Machine Learning) Experience in computational biology and bioinformatic analysis Proven ability to write detailed, technically accurate reports on complex research
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Europe Grant for Culture, creativity and inclusive society programme. The project aims to address key challenges on enhancing climate resilience and sustainable development in rural and small urban
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) programme. The post holder will work closely with Professor Ronita Bardhan and contribute to a high-impact, interdisciplinary research programme focused on advancing evidence-based urban design for population
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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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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