292 quantum-physics-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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The Birmingham Particle Physics group has a vacancy for a Research Fellow working on detector developments to contribute to future experiments dedicated to kaon physics. Specifically, the successful applicant will
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that the selection process will include an interview and presentation. Further details will be provided to shortlisted candidates. For informal enquiries, please contact Professor Garry Tew at g.tew@yorksj.ac.uk
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About us At the Advanced Biosensing Technology Group, our research interests include the study of chemical and physical properties of advanced materials using nanotechnology and the assembly
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for Postdoctoral Researchers/Research Fellows/Senior Research Fellows in the following areas: Generative AI, LLM & VLM, VLA Physical AI and World Models Mathematical Modeling for AI, Bio Inspired Intelligence AI
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smouldering combustion to drive a carbon-negative waste treatment process – through integration with materials destined for carbon mineralisation. The successful candidate will design and execute the necessary
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career and managing research as well as a transparent promotion process. Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes). Be part of a diverse
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experience) in applied mathematics, physics or engineering, and strong, up-to-date specialist knowledge in analytical and numerical spray modelling and machine learning. Experience with OpenFOAM or similar CFD
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balance in the workplace. The Faculty recognises that applicants may seek flexible working patterns which will be considered as part of the recruitment process. please see our working with us website page
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balance in the workplace. The Faculty recognises that applicants may seek flexible working patterns which will be considered as part of the recruitment process. please see our working with us website page
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models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics-based models that optimise and control pharmaceutical