82 parallel-processing Postdoctoral research jobs at University of Oxford in United Kingdom
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funded by UKRI EPSRC and is fixed term for 12 months. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and
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Applications are invited for a Postdoctoral Research Assistant in Data processing for the MIGHTEE survey. This is a senior role funded through the UKRI Frontier Research Grant of Prof. Matthew
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We are seeking a full-time Postdoctoral Research Assistant in Computer Vision to join the Visual Geometry Group (Central Oxford). The post is funded by ERC and is fixed-term for 1.5 years with a
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disease. Together with other members of the team, the post-holder will design parallel tasks for rodents and humans and apply comparable analytical approaches to data across species. Cell and circuit
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mechanism design. The project will involve close collaboration with project teams at Imperial College London, the Edinburgh Parallel Computing Centre (EPCC) and the Luxembourg Institute of Science and
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the Department of Psychiatry as supportive, welcoming and inclusive as possible. Application Process You will be required to upload a covering letter/supporting statement, CV and the details of two referees as
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, to work on the EPSRC funded project “Prototyping a new green ammonia synthesis process using water, air and concentrated solar energy” in collaboration with Prof. Laura Torrente-Murciano, at the University
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and how clonal hematopoiesis (CH) affects the normal physiological ageing process. You will work within a team that comprises of the Nerlov lab , working alongside other groups within the Molecular
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involvement with the research project, supporting research volunteers and contributing to public engagement activities. You will process and analyse data using both quantitative and qualitative methodology and
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data