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students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/School research
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modelling. The PhD candidate’s tasks will primarily be to model and simulate CO2 hydrate sealing in sediments but also to take part in analysing and interpreting physical experiments. The PhD candidate will
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, evidence-based care for musculoskeletal injuries and conditions. Our faculty, staff, and trainees conduct a diverse range of musculoskeletal research and scholarship. The department?s research program is
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Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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) GRADE 7, £39,355 - £45,413 pa Fixed-term Ref: 095593 A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials
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interdisciplinary research group with both experimental activities and numerical modelling. The PhD candidate’s tasks will primarily be to model and simulate CO2 hydrate sealing in sediments but also to take part in
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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Project Overview: Foundation models have revolutionized natural language processing. These are models trained on broad datasets with powerful generalization tasks such as the GPT series. There have
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the colleagues to develop and implement an ambitious quantitative research programme To develop new models for understanding key determinants of community connectedness To engage in data science debates, notable
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. The successful candidate will become an active member of the Energy, Power and Intelligent Control (EPIC) research centre within the School of Electronics, Electrical Engineering and Computer Science (EEECS