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alumni have joined leading UK universities (e.g., Oxford, Manchester, Kings College London, Liverpool, Cardiff, Bath, Sussex, Surrey) and international institutions (ESCP Europe, Hamburg, UCD, Goethe
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will develop autonomous on-board guidance algorithms for space missions using open-source numerical solvers for convex optimisation developed at the University of Oxford. The focus will be on designing
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collaborates widely through the Machine Learning and Global Health network, including with researchers at the University of Oxford, Imperial College London, and the University of Copenhagen. How to apply: Prior
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studentship in Photobatteries from photocharging materials available from October 2026, to work under the supervision of Dr Filip Podjaski in the Department of Chemistry at the University of Oxford
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of Oxford, the University of Illinois, the University of York, the University of Melbourne, Australian National University, Ernst & Young, the World Bank and government health departments. Enquiries: If you
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York, the Department of Computer Science at the University of Oxford, the Amsterdam Machine Learning Lab, and the XLA and JAX teams at Google. Your teaching Teaching will be a small but valuable part of
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strong connections with academics studying sustainability at many other universities such as at the University of Cambridge, University of Oxford, London Business School, HEC Paris, and Imperial College
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models and is carried out in collaboration with Prof. Graham Ogg, the scientific partner from the University of Oxford. The funding for this exciting project was obtained within the FIRST TEAM programme of
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international partners including the Center for Computational Mathematics at the Flatiron Institute in New York, the Department of Computer Science at the University of Oxford, the Amsterdam Machine Learning Lab
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of Oxford, University of Reading, and University of Helsinki, which include several senior and early-career researchers with compatible research interests. The salary of the position is determined in