579 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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for the candidate to have prior training in development studies, government, business or economics as any relevant training will be provided on the programme. Research Proposal The project area is broadly defined
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Application deadline: All year round Research theme: Applied Mathematics, Computational Metallurgy UK only This 3.5-year PhD project is fully funded and home students are eligible to apply
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Requirements Essential Criteria MSc (or equivalent) in a relevant discipline (e.g. Computer Science, Robotics, Architecture, or related fields). Knowledge or experience in robotics or architectural systems
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range of future careers. Should there be interest, there is also the possibility of developing teaching and supervision skills on our MSc Astronautics and Space Engineering programme. At a glance
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modelling in a collaborative research environment. Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree in Engineering or a related discipline, and a strong interest in
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apply a broad range of research methods including advanced statistical methods, computational modelling and experimental design, with the aim of generating policy-relevant evidence. The student will work
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across sociology, anthropology, migration studies and science and technology studies (STS). There will also be opportunities to engage with comparative insights from the Netherlands and Sweden. Funding and
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Quantum materials underpin key emerging technologies in quantum computation, sensing, and low-energy electronics (e.g. topological insulators, topological superconductors, spin liquids, superfluid
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, Chemistry, Physics, Engineering, Mathematics, Computer Science, Data Science, Machine Learning or Artificial Intelligence a minimum 2:1 undergraduate degree (or equivalent) Excellent spoken and written
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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