394 quantum-computing "https:" "https:" "https:" "U.S" Postdoctoral research jobs in United Kingdom
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distortions in the presence of a shallow crustal hydrothermal system at a model caldera volcano. The model will use the phase field approach and be implemented in Alya, the parallel multi-physics Computation
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for carrying out research on the European Research Council Project METACOMP on “Meta-Complexity: A Unified Approach to the Complexity of Proofs and Computation”, with Rahul Santhanam as Principal Investigator
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about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Physics group develops and
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Location: South Parks Road, Oxford OX1 3QU About the role We are looking for a Postdoctoral Research Associate in Computational Biology to join the group of Dr Rebecca Berrens. This primarily dry
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postdoctoral researcher to develop and deploy coupled X-ray computed laminography and X-ray diffraction methods for non-destructive 3D analysis of solid-state battery pouch cells. The role is embedded within
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Researcher in Computational and Systems Biology to lead innovative research
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have, or be about to obtain, a PhD in Computational Chemistry or a related discipline, with experience in multiconfigurational quantum chemistry, relativistic electronic structure theory, or simulation
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instance Hours: Full time (37.5 hours per week) About the role We are looking for a Postdoctoral Research Associate in Computational Biology to join the group of Dr Rebecca Berrens. This primarily dry-lab
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The Role This is an exciting opportunity to join the Innovate UK funded project 'CHERI-Zephyr++: A memory-safe, lightweight real-time operating system for critical RISC-V embedded systems', led by Prof Oswald. The successful candidate will have the opportunity to closely work with the team of Dr...
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the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy