192 formal-verification-computer-science Postdoctoral positions at University of Oxford
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experience in stem cell biology. You should have an extensive hands-on experience in culturing human iPSCs and iPSC-derived cellular models as well as experience with molecular cloning and generating knockout
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, operations research, computer science, mathematical finance, or a related field, the successful candidate will demonstrate the ability to develop independent research ideas and contribute to advancing our
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Economics Research Centre (HERC), Nuffield Department of Population Health, with the opportunity to also contribute to HERC’s varied programme of teaching. You will manage your own academic research and
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About the role Applications are invited for two Postdoctoral Research Associate positions in Chemical Biology to work under the supervision of Professor Yimon Aye for a period of up to 24 months
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opportunity for a motivated researcher with a background in stem cell biology, neuroscience, or pain biology to contribute to a high-impact, collaborative programme at the interface of cell biology
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Morten Kringelbach, is seeking a Postdoctoral Researcher to join its interdisciplinary programme in contemplative science, computational neuroscience, and human flourishing. What We Offer As an employer
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completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or Medical Image Analysis) and possess sufficient specialist knowledge in medical imaging—particularly whole-body and abdominal MRI
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developing formalisms for their interpretation (GMC structure, dynamical state, lifetime, formation, evolution), and/or ii) weighing the supermassive black holes lurking at galaxy centres using molecular gas
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The Department of Earth Sciences are seeking a highly motivated and skilled researcher responsible for conducting a comprehensive retrospective analysis of volcanic seismicity across Costa Rica’s
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of Engineering Science. The post is funded by EPSRC and is fixed term to the 31st January 2027. A2I explores core challenges in AI and machine learning to enable robots to robustly and effectively operate in complex, real