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. The researcher will support the activities of a phase 2 research project, which is part of the research strand 1 “Enhanced sampling frames and procedures”: “Under-represented population sub-groups in social
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of both interviewers and research professionals. The researcher will support the activities of a phase 2 research project, which is part of the research strand 1 “Enhanced sampling frames and procedures
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integrating existing MLSecOps, DevSecops and advance techniques for 3rd party model assessment as part of provenance About the person: To be considered for interview, applicants must demonstrate that they meet
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presentation at national/international conferences Essential Application Evidence of working effectively as part of a multidisciplinary team Essential Application/Interview Ability to work within the Research
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Applications are invited for a postdoctoral research position at the University of Nottingham, to work on simulations of galaxy clusters with Dr. Yannick Bahé. This position is part of a UKRI funded
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. This is an excellent opportunity to be part of an interdisciplinary and international research collaboration, spanning health policy, economics, medicine, and public health. Candidates should have a PhD (or
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meet the selection criteria in your own words, along with your CV, two writing samples on AI security or cybersecurity, and the details of two referees as part of your online application. The closing
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safety and feasibility study (ELC-1). The research will be undertaken as part of the Oxford Transplant Laboratory, University of Oxford. The two study sites are: King’s College Hospital and Royal Free
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Revolution Lab in the School of Biosciences at the University of Birmingham. The Research Fellow will work as part of the Royal Society-funded project “Fern seed found? Testing a new hypothesis for the origin
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for the entire project from polymer synthesis, crystallisation-driven self-assembly, characterising data collection interpretation. Training will be provided in all of the component techniques but demonstrable