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aerospace companies, space agencies, advanced technology companies and academia. You could pursue roles in structural analysis, simulation and certification, data-driven design, or research leadership in
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that benefit fitness in the opposite sex. You will receive outstanding interdisciplinary training in computational biology, experimental genetics, and molecular biology. The supervisory team offers expertise
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New funding opportunity from the Society for the Study of Addiction and UK Government’s Office for Life Sciences The Society for the Study of Addiction (SSA) is offering PhD studentships as part of
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controls (inhomogeneous materials/geometries). Validate on synthetic and real experiments; publish open benchmarks and papers. Why this is exciting Work at the frontier of AI for science (foundation models
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. You will be part of an active research programme in the Heat and Fire Lab (https://heatandfire.github.io/ ) in the Department of Engineering under the supervision of Dr Francesco Restuccia . Our group
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The London Interdisciplinary Social Science Doctoral Training Partnership (LISS DTP) is led by King’s College London and funded by the Economic and Social Research Council (ESRC) The LISS DTP Open
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: At least an upper second-class degree (preferably MSc) in a Science or Technology discipline. Good working knowledge of machine learning and deep learning. Hands-on knowledge of Python or PyTorch
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combination of experimental work, rig development, and computational modelling, and will equip the student with a unique skill set highly relevant to both academic research and industrial careers such as
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The Centre for Doctoral Training in Nanoscience and Nanotechnology (NanoDTC) at the University of Cambridge invites applications for its 3.5-year interdisciplinary PhD programme. The programme
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Research Studentship in Neural Engineering 3.5-year D.Phil. studentship Project: Sleep classification for implanted neurostimulation systems Supervisors: Dr. Joram van Rheede, Prof. Timothy Denison