376 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" PhD positions in United Kingdom
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essential; applicants should demonstrate strong academic performance, resilience in the face of research challenges, a proactive attitude to learning and a willingness to grow, and ideally an initial
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this industrial PhD studentship in Physics – fully funded by the EPSRC and QinetiQ. We’re looking for a student who has a passion for science, with ambition to learn and apply their own ideas, perspectives, and
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the gallery. Set up ‘to inspire a lifelong love of art and learning’, TOP has worked with thousands of children to date: this offers a rich dataset to help better understand the evolution of the programme and
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be found here: https://www.postgraduate.study.cam.ac.uk/courses/directory/blpapdpth More about the project: Project Title:Dissecting the body-wide spatio-temporal organisation of human resident T
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PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History (https://crea.univie.ac.at/). Your future tasks: This is part of your personality: Above-average MA in
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work with the UK semiconductor industry. The studentship represent a unique opportunity to be trained in the epitaxy process and to work in an emerging and exciting area of combining AI/machine learning
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behaviours of multi-agent systems in response to changing internal states and external environmental conditions. Both traditional model-based approaches and modern learning-based control techniques will be
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shortlisted for funding by the NRPDTP. Shortlisted applicants will be interviewed on 30 April 2026. Visit our website for further information on eligibility and how to apply: https
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2026. Visit our website for further information on eligibility and how to apply: https://biodtp.norwichresearchpark.ac.uk/ . Our partners value diverse and inclusive work environments that are positive
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., Posner, D.A., Lee, C.Y.C. et al. Childhood brain tumors instruct cranial hematopoiesis and immunotolerance. Nat Genet 58, 317-328 (2026). https://doi.org/10.1038/s41588-025-02499-2 Fitzpatrick Z, Ghabdan