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2025 to 30 September 2028. Successful applicants will ideally be in post on or soon after 1 October 2025 but can request to start at any point between 1 October 2025 and 30 September 2026. When
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Professor Andrei Krokhin. The aim of the project is to understand the mathematical structure of Promise CSPs that makes them easy or hard from the algorithmic point of view. This project is particularly
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). The position is funded by NSF-EPSRC grant 'Stochastic Shape Processes and Inference', in collaboration with the University of Nottingham, Ohio State University, and Florida State University. The successful
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the mathematical structure of Promise CSPs that makes them easy or hard from the algorithmic point of view. This project is particularly suitable for researchers in mathematics and theoretical computer science
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ultracold molecules. The post holder is therefore expected to have experience and familiarity with the techniques used in the study of ultracold gases, including the operation of magneto-optical traps
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The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects
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, remanufacturing, repair etc.) for the parts and materials extracted from space objects including the timing of such interventions considering the value of the materials, costs of extraction and processing, and
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to attend in person on the date offered, it may not be possible to offer you an interview on an alternative date. Please note that in submitting your application Durham University will be processing your data