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, physics and astronomy, applied mathematics, statistics, computer science, etc.). The Research Associate will need to be proactive, working both independently and as part of ECI/SoGE climate community and
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the Department of Engineering Science at the University of Oxford. The post is funded by the Oxford Martin Programme on Circular Battery Economies. It is fixed term up to December 2027. You will undertake
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the Department of Engineering Science. The post is funded for a 2-year fixed term. You will be actively involved in developing and running experimental facilities at the Oxford Thermofluids Institute
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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient
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Master’s degree in physics, mathematical biology, computational biology or a related subject. They should have good skills in programming languages such as Python, MATLAB or R, and experience in image
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Are you a digital construction and data expert ready to shape the future of a world-class estate? Join our forward-thinking Estates Services team at the University of Oxford and lead the implementation of cutting-edge digital systems and data strategies that support the design, delivery, and...
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Medicine, Statistical Genetics, Bioinformatics, Computational Biology, or a related quantitative discipline. You will also demonstrate a proficiency in statistical programming using R and/or Python, with
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candidates for the Malaria Vaccine Programme using some of the most advanced technologies in some of the following areas: immunology, biochemistry, molecular biology, proteomics, bioinformatics, genomics and
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This is a readvertisement - previous applicants need not apply MSD IT Services provide the underlying network and infrastructure delivering IT services across the Medical Sciences Division
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods