189 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at University of Oxford
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the lunar farside. The successful candidate will contribute to the development and scientific programme of the Lunar Farside Technosignature and Transients Telescope (LFT3; https://lft3.space). Lunar Farside
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science, engineering, or a related discipline, with significant postdoctoral research experience. The ideal candidate will have strong expertise in computational biology, machine learning, and quantitative analysis
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About the role We are seeking a full-time Postdoctoral Research Assistant to join Circular Economy and Sustainability Lab at the Department of Engineering Science (central Oxford). The post is
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the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking an Early-Stage Researcher (ESR) to work
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We are seeking a highly motivated Postgraduate Research Assistant with expertise and interest in developing cures for inherited cardiomyopathies using advanced therapies to join the CureHeart (https
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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 to apply statistical and computational approaches towards
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join the MRC/BHF Centre of Research Excellence in Advanced Cardiac Therapies https://www.advancedcardiactherapies.ac.uk/ , co-hosted at the Institute of Developmental and Regenerative Medicine (IDRM
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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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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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computational approaches towards a new project which seeks to better understand the causes and consequences of the correlation between multiple traits and to quantify trait variation that arises from new