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We invite applications for a fully funded PhD studentship (3.5 years) hosted by the University of Birmingham and conducted in collaboration with Siemens and the UK Met Office. This project is ideal
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therefore a continued knowledge gap - whether bone and muscle sarcoma metastases evolve through linear Darwinian evolution, parallel progression, reversible/plastic mechanisms and/or whether a metastatic
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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the possibility of progression to PhD study. As a GTA, you will play a vital role in supporting academic staff in the delivery of seminars, tutorials, and group-based learning activities. Working under supervision
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– United Kingdom PhD programme: Harper Adams University PhD programme Fixed term until 30 September 2028 Research project description Agricultural robots and Artificial Intelligence (AI) technologies could soon be
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Assembly Language, Operating Systems, Concurrent and Parallel Systems, Building Big Data Systems. You should have a completed PhD degree and demonstrated capabilities in teaching, research, and engagement in
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Experience PhD or equivalent experience in a relevant discipline Knowledge of nuclear/fusion science or engineering Use of tools such as OpenMC, MCNP, Geant4, MOOSE, or OpenFOAM Experience with high
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4 NHS sites and includes a parallel process evaluation of a newly developed software as a medical device tool that incorporates AI and machine learning. The project's industry partner, a King’s
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learning for policy optimisation, all within a huge GPU-based simulation with thousands of robots learning synchronously in parallel. The best solutions will then be 3D-printed, and policies will be fine
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algorithms to explore creative new hand designs, and reinforcement learning for policy optimisation, all within a huge GPU-based simulation with thousands of robots learning synchronously in parallel. The best