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areas of Computational Biology or Chemistry, or should be finalising their PhD or waiting for their viva date. Please note: Appointment at Grade 7 is dependent on award and confirmation of a PhD (or
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mathematics, Earth science, or a related discipline Skills in numerical modelling, programming, and handling large datasets Prior experience in machine learning is desirable Interest in nonlinear dynamics and
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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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funded by the Heising-Simons Foundation that provides funding for ISMIP7 Core Activities. We invite candidates with interests and experience in the fields of physical and computational oceanography
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creative and technically strong individual with: A PhD (or equivalent) in health economics, epidemiology, computer science, or a related field. Experience building or using microsimulation models or other
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be working closely with engineers at Rolls-Royce. The project would ideally suit a candidate with an Engineering background with strong mathematical skills or a candidate with an applied Mathematics
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dynamics. You should have: A background in physics, applied mathematics, Earth science, or a related discipline Skills in numerical modelling, programming, and handling large datasets Interest in nonlinear
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neuroscience, cardiovascular neurophysiology, and neural computation. Researchers have access to state of the art facilities (https://www.ucl.ac.uk/science-technology-platforms/) and the department has close
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/ knowledge of lung cancer/ publications or poster/ oral presentations in lung cancer research would be desirable. Applicants should also have a PhD or equivalent in computer science, mathematics, statistics
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neuroscience, cardiovascular neurophysiology, and neural computation. Researchers have access to state of the art facilities (https://www.ucl.ac.uk/science-technology-platforms/ ) and the department has close