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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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, from cutting-edge research facilities to modern teaching spaces. The Team is delivering the University’s Minor Capital Plan - a rolling programme of over 250 live projects across the estate, with
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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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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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An exciting opportunity has arisen for a new fixed-term position of Digital Projects Officer. Working closely with the Institute Administrator/ Deputy, you will help develop, automate and streamline the Institute’s administrative processes, engaging with a variety of internal stakeholders...
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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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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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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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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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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