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for the ‘Course Title’ using the programme code:8210F Select History in the ‘Research Area’ field Select ‘PhD School of History, Classic and Archaeology (full time) – History' as the programme of study You will
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of video and low-cost sensor technologies to capture subtle movement patterns, creating a rich dataset for AI-driven analysis. Machine learning, deep learning, computer vision and multimodal AI methods will
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models ranging from baseline approaches to graph neural networks. You will also oversee the open release of project datasets, models, code and documentation. The successful candidate will join Oxford's
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via feedback, interaction and continual learning. It will explore converting human videos, simulation, web-scale data and unstructured experience into supervision and reward signals through relabelling
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
. Job description Your key tasks are: Carrying out an independent research project under supervision, including deriving its mathematical basis and implementing results in code; Completing PhD courses
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, failure modelling of fibre-reinforced composites using FEM, use of Artificial Intelligence for surrogate models An interest or experience with structural optimisation Experience in scientific coding (e.g
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must be made through the university’s on-line application system https://admissions.bham.ac.uk/course-finder-landing-page/?code=EPS006 . Please provide: (1) a cover letter summarising your research
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through the University’s Apply to Newcastle Portal In ‘Course choice’ tab, put ‘Postgraduate Research’ in 'Type of Study', ‘Full Time’ in ‘Mode of Study’, ‘2026’ in ‘Year of Entry’, code ‘8420F’ in ‘Course
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. Programming, coding, and experimental hardware skills (desirable). Strong analytical and mathematical capabilities. A passion for research and a willingness to learn. Excellent presentation, communication, and
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for the ‘Course Title’ use the programme code: 8420F Research Area: Leave Blank Select ‘‘PhD Biosciences (FT)’ - September 2026. Our PG Admissions staff will change the start date to January 2027 after you've