316 computational-physics-"https:"-"https:"-"https:"-"https:"-"Caltech" Postdoctoral positions in United Kingdom
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Physical Sciences Research Council. King’s Department of Informatics is a large, interdisciplinary department with a vibrant research culture and long history of cutting-edge AI research. The postholder will
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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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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or computational research in the area of quantum technologies, either in Physics or a related discipline (including Engineering, Materials, Chemistry, Computer Science or Mathematics) You will have a strong
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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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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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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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Physical Sciences Research Council. King’s Department of Informatics is a large, interdisciplinary department with a vibrant research culture and long history of cutting-edge AI research. The postholder will
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department in its field, running a globally competitive programme of research and teaching. The Kennedy Institute is a biomedical research centre uniquely bringing together discovery science and early-stage
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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