140 computational-physics "https:" "https:" "https:" "https:" "University of Kent" Postdoctoral research jobs at University of Oxford in United Kingdom
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), computing sensitivity kernels and applying the BG-SOLA method to infer the properties of the MTZ. They will adapt existing and develop new seismic analysis and inverse methodologies within a finite-frequency
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Applications are invited for a Postdoctoral Research Assistant in Computational Condensed Matter Physics. The post is available initially for a fixed-term duration of 18 months. This project will
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a small amount of teaching to the department, of at most three hours a week during the academic terms. You will hold a relevant PhD or be near completion, in physics, mathematics, computer
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clubs for those looking for more than just a great place to work. Application Process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk and Vacancy ID 185636 . You will be
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About the role We have an exciting opportunity for a highly motivated Postdoctoral Research Scientist in Computational Biology to join the Oxford Vaccine Group (OVG) as part of the Correlates
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candidate will contribute to an interdisciplinary research programme at the interface of artificial intelligence, biology, and human health. Reporting to the BDI Director, the post holder will play a leading
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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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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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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 Engineering and Physical Sciences Research Council (EPSRC) and is fixed term to 30 November 2027. The research project will employ cutting-edge experimental methodologies to elucidate the pathways for human