123 high-performance-computing-postdoc Postdoctoral research jobs at University of Oxford
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for optical imaging. Experience and interest in data analysis and the ability to perform basic biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will hold
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training events across the network. The post is based at the University of Oxford, Department of Experimental Psychology, UK where you will enrol on the doctoral program (DPhil) joining a dynamic and
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of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National
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haemorrhagic fever (CCHF). Working closely with a collaborative team of postdoctoral researchers, students and research assistants, the role will support the delivery of pre-clinical studies by performing and
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program exploring the role of fluctuations in molecular transport processes by studying highly controlled experimental models at the meso- and nanoscale, funded by a UKRI Frontier Research Guarantee Grant
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Applications are invited for a Postdoctoral Research Assistant in Astrophysics (ERC RedH0T). This project will be part of the ERC Synergy Grant “Red-Teaming the Hubble Tension” (RedH0T). The goal is to determine whether the Hubble tension arises from observational issues or from limitations in...
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development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
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on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental aspects
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profound ecological and political change. Working with Professor Yadvinder Malhi and a dynamic interdisciplinary team, you will analyse how existing policies for nature recovery are performing in practice
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational