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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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of the process, process stability and the interaction between the part and the tooling. This project will develop the fundamental understanding of the thermo-mechanical effects and material flow within the high
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direct continuation of that programme. The project will develop hybrid QD–Rb interfaces for frequency conversion and subsequent storage of single photons in warm rubidium vapour. High-quality epitaxial III
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships
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of the process, process stability and the interaction between the part and the tooling. This project will develop the fundamental understanding of the thermo-mechanical effects and material flow within the high
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to players’ needs in real time. The successful candidate will work with an interdisciplinary supervisory team, benefiting from expertise in adaptive systems, accessibility and human-computer interaction, and
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Despite significant advances in numerical techniques and computing hardware, the high computational cost of large-scale 3D computational fluid dynamics (CFD) modelling remains a major challenge. A
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PhD Studentship: Designing Human-AI Teams for Meaningful Human Control of 'Machine-Speed' Operations
class or 2:1 degree in the field of Cognitive Psychology, Human Factors, Ergonomics, Human-Computer Interaction, or related behavioural science. An MSc degree in a relevant area is desirable though not
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) and will involve frequent interaction with their scientists, who will co-supervise the project. Number Of Awards 1 Start Date January 2027 Award Duration 4 years Application Closing Date Monday 5th
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. The project is a collaboration with Eli Lilly Pharmaceuticals (Boulder, Colorado, USA) and will involve frequent interaction with their scientists, who will co-supervise the project. Start Date January 2027