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applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
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international theoretical/computational partners. Your experience and ambitions Master’s degree in the field of condensed matter physics or a closely related field. Existing skills and knowledge in electronic
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Solutions, you will apply your methods in detailed simulation studies using Imperial’s high-performance computing facilities, assessing performance in realistic scenarios. You will regularly present your
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Liverpool where, in the School of Computer Science and Informatics, we have an active group of PhD students, postdocs, and academics working at the intersection of Machine Learning, Verification and
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the goals of HEHTA, the Living Lab, and the Creative Communities programme. Co-create, build, and maintain a digital engagement platform in collaboration with stakeholders from government, healthcare
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, computation, and biophysics. They will also have the opportunity to develop independent projects after gaining adequate experience. Moreover, they will receive support if they wish to participate in career
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Job description: A Research Assistant / Associate position, funded by a Wellcome Trust Collaborative Award in Science, is available in the research group of Prof. Dylan Childs. The grant is led by Prof. Michael Brockhurst at University of Manchester, together with lead investigators Prof Dylan...
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About the role We are seeking a talented Postdoctoral Researcher with expertise in healthcare AI to join the Modernising Medical Microbiology (MMM) Unit at the University of Oxford. This is an exciting opportunity to lead innovative research at the interface of AI and clinical medicine, working...
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on performance and safety, for example, through the efficient computation of Lyapunov and barrier functions, forward and backward reachable sets, optimal value functions etc. The broad goal is to build upon recent
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to develop your knowledge and skills on autonomous cubesats with impactful applications in planetary defence. You should have a PhD (or near completion) in space engineering, computer science or an equivalent