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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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also be involved in a fixed number of teaching hours during your time with us. In year one, alongside your specific PhD research modules, you’ll complete a short teacher training programme by
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surface and directly influence by the sea state. This interaction is of particular interest when atmospheric conditions suit cloud formation. Windfarm operation has been shown to modify the MBL through
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programme; please do not use any other link to apply to this project or your application may be rejected: https://sits.bham.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=FR167D&code2=0005
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combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance. The investigation will focus on optimising core gas exchange and combustion processes
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, immunostaining and image analysis; measurement of soluble mediators using muliplex ELISA; isolation of cells from tissue and blood, cell culture and ex-vivo assays; metabolic profiling including SCENITH assay and
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, exerting a transient influence on the landscape and increasing the probability of subsequent and recurrent failures; processes which are currently not accounted for in most landslide susceptibility models
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the growing demand for sustainable AI-enabled systems, this PhD brings together low-power computing, energy-aware design, and thermal optimisation. You’ll work with advanced profiling tools, prototype long-life
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The University of Exeter’s Department of Public Health and Sport Sciences invites applications for a PhD studentship, funded by the University of Exeter and Wageningen University, to start on 1
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decisions surrounding future applications of NLP. Candidate profile An ideal candidate would typically be: A graduate with a strong degree in a relevant field (computer science, linguistics, design, HCI, law