304 computational-physics-"https:"-"https:"-"https:"-"https:"-"Univ" Postdoctoral positions in United Kingdom
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fields of research. They will be pursuing an independent programme of advanced study and research in Israel Studies, prepare research publications and publish high-quality research in peer-reviewed
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An exciting opportunity has arisen for a Postdoctoral Research Assistant in the Department of Physics. Machine learning has made enormous progress during recent years, entering almost all spheres
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, including Professors Christos Bourantas and Francesca Pugliese, alongside basic scientists at the Institute and a clinical fellow within the same BHF programme. The role offers the chance to develop expertise
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, MICADO and METIS. Our group develops and maintains custom-written software that will simulate, process, validate, and store data from some of the most advanced astronomical instruments ever to be built
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instance), working full-time for 37.5 hours per week, though where possible, part-time arrangements may be considered. About You With a background in materials science, physics, engineering, computer
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Postdoctoral Research Associate ( Job Number: 26000129) Department of Computer Science Grade 7: - £ 38,784 - £41,064 per annum Fixed Term - Full Time Contracted Hours per Week: 35 Closing Date : 11
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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The post holder will join the Physical Oceanography and Palaeoclimate groups in the Department of Earth Sciences and perform numerical model data analysis relevant to two projects: MEZCAL and
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School, we are known for our pioneering research and pride ourselves on our international reputation. We are equal first in the UK for the impact of our Computer Science research, and second for our
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of reproducing aerodynamic loads in real time for physical experiments. The project combines numerical modelling, data-driven methods, and laboratory experimentation to advance next-generation real-time hybrid