364 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions in United Kingdom
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to undertake collaborative, team-based research, present your findings at conferences and learn how to make impactful contributions to society. Entry requirements Applicants should have a 2:1 at UG Hons
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and interpretable deep learning models to upscale species-level mapping to regional satellite products. Organise co-creation workshops with local stakeholders and generate decision-ready indicators
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to: Develop automated computer aided design (CAD) and meshing pipelines to generate a library of arterial geometries representing common geometric archetypes (e.g. curved vessels, bifurcations, side branches
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essential, as learning and training will be expected during the PhD study. Funding support After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a
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no.: 5202 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves
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calibration of standard petrophysical apparatus and bespoke high-pressure, high-temperature deformation machines. • Geochemical and fluid analysis techniques You will join a diverse and collaborative research
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intensive, Boston-based institution. Founded in 1898, Northeastern received $230.7m of external research funding in 2022, and is the recognized leader in experience-driven lifelong learning. It has campuses
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experience and knowledge of air transport is beneficial but not essential; determination, curiosity, and a willingness to learn are key attributes we value. Applicants with alternative qualifications, industry
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with FASD commonly experience challenges with learning, memory, attention, impulse control, emotional regulation, adaptive functioning and social interaction. Without appropriate support, these
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: Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in a relevant subject, typically in the physical sciences or engineering. Experience of computer simulation, or