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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
determination by developing mathematical methods and integrating machine learning into crystallographic workflows. The successful candidate will develop theoretical and computational approaches to improve
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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Futures in STEM Programme Officer ( Job Number: 26001053) Science Faculty Office Grade 6: - £31,236 to £37,694 per annum Fixed Term - Full Time Contract Duration: 90 weeks Contracted Hours per Week
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Assistant or Associate Professor in Computational Astrophysics or Cosmology ( Job Number: 26000989) Department of Physics Grade 8/9: - Grade 8 £47,389 - £56,535 per annum Grade 9 £59,966- £67,468
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Research Assistant - Computer Vision and Machine Learning (Visual-AI) ( Job Number: 26000733) Department of Computer Science Grade 6: - £31,236 - £37,694 per annum Fixed Term - Full Time Contract
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foundation models and world models enable robots that understand instructions, interpret scenes and generate behaviours. However, most systems require huge datasets, extensive teleoperation, expensive compute
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, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming, analysing and interpreting data, and contributing to innovative solutions that support maritime
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encourages anyone with academic ability to consider applying to Durham, regardless of background. A post has arisen within the SOWP team as part of the Uni Connect Programme, an Office for Students (OfS
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situations, particularly in relation to the University’s winter maintenance programme. Onsite working only Closing date: 5th October 2026 The University At Durham University, we are proud
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to a 24-7 Employee Assistance Programme. • Our on-site nursery is rated Outstanding by Ofsted, and you can access holiday camps for children aged 5-16. • Our family-friendly policies, including