593 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" PhD positions in United Kingdom
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 15 Sep 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Offer
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of Mechanical and Aerospace Engineering Full Time / Part Time Full Time Position Title: Research Assistant (PhD position) - 16529 College/Department: College of Engineering, Design and Physical Sciences
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of Mechanical and Aerospace Engineering Full Time / Part Time Full Time Position Title: Research Assistant (PhD position) - 16530 College/Department: College of Engineering, Design and Physical Sciences
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Powertrain and Fuels (CAPF) at Brunel University of London invites applications for a Research Assistant / PhD position as part of an EU MSCA Doctoral Training Grant. This position focuses on investigating
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The primary objective of this project is to establish the evidence base on professional cycling road ‘racing’ trends and the critical tactical moments that determine how races are won. This evidence will inform future race strategy and live race tactics. Multiple factors influence the strategy...
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Type of award Scholarship Managing department Faculty of Science and Engineering Value The four-year funded A*STAR PhD programme at Manchester enables postgraduate researchers in science and
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scholarship is suitable for students with a background in Engineering, Mathematics, and Computer Science. Students with interests in machine learning, deep learning, AI, intelligent decision making
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humans. The successful candidate will join the new Intelligent Robotics group in the Computer Science Department in the Computational Foundry in the Faculty of Science and Engineering at Swansea University
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Please quote reference: Quantum Computing at The School of Physical Sciences Duration: 3 years and 6 months. We are currently recruiting for the following full-time, fully funded PhD studentship
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience