407 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" PhD positions in United Kingdom
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- VIN UNIVERSITY
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful candidate will be based at the Rolls-Royce
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This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based sensors to deliver resilient, high-accuracy positioning. The project sits at the intersection of...
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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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://www.bris.ac.uk/pg-howtoapply . Please select Mechanical Engineering (PhD) on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and Research Details sections
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Supervisors: Professor Sir Steve Jackson and Dr Mark O'Connor (AZ Partner) Course start date: 1st October 2026 Project details Targeted Alpha Therapy (TAT) selectively delivers high Linear Energy Transfer (LET) alpha-particles to cancer cells, maximising efficacy while minimising toxicity. ...
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transcriptomics and histone mark profiling as well as by live imaging approaches. As part of this project, you will have the opportunity to gain computational data analysis skills. This studentship comes with
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Fixed-term: The funds for this post are available for 1 year. Applications are invited for a Research Associate (Postdoc) to join the Prorok Lab in the Department of Computer Science and Technology
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Liverpool where, in the School of Computer Science and Informatics, we have an active group of PhD students, postdocs, and academics working at the intersection of Machine Learning, Verification and
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emerging photonic microdevices promising to revolutionise computer, communication, and sensing technologies must be performed with unprecedented picometre (one-hundredth of the atomic size) precision