473 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" Fellowship positions in United Kingdom
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• A comprehensive range of childcare services • Family leave schemes • Cycle and electric car loan schemes • Employee Assistance Programme • Membership to a variety of
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Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing
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computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological
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transformations. Combining automated reaction discovery simulations, microkinetic modelling, machine learning, and global optimization, this project will develop a new and exciting route to addressing one
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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience
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experience in the use and/or development of machine learned interatomic potentials would be seen as a significant asset. Previous experience of inelastic neutron scattering spectroscopy (or similar) would be
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The Centre for Appearance Research (CAR) is looking to appoint a part time Research Fellow to join a team of researchers on a fixed term project, funded by The Scar Free Foundation ; evaluating a
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The job information is shown below. Please click on the links to see full details. The Centre for Appearance Research (CAR) is looking to appoint a part time Research Fellow (0.6fte) to join a
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such as geotechnical engineering, archaeology, geophysics, sensing and machine learning, with group members from seven different countries, speaking over ten different languages. Perks of this role include
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and spectral index time series extracted you will work with solar physicist Mykola Gordovskyy (also at CAR) on initial physical modelling to better understand these extreme flares and to compare them