181 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Oxford
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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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research initiative funded by ARIA, titled Aggregating Safety Preferences for AI Systems: A Social Choice Approach. The project operates at the interface of AI safety and computational social choice, and
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that your work will contribute towards advancing the state of the art in computer guided endoscopy. You should hold a relevant PhD/DPhil or be close to completion, with relevant experience in the field
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objects such as neutron stars and black holes. Strong computational experience and proficiency in simulations is highly preferred. The post-holder may be expected to help in the supervision of DPhil and
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project will involve both remote-sensing and field-based observations and data collection. It will provide outputs to the World Bank CAWEP (Central Asia Water Energy Power) programme to aid the design
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, operations research, computer science, mathematical finance, or a related field, the successful candidate will demonstrate the ability to develop independent research ideas and contribute to advancing our
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Institute for Molecular and Computational Medicine (IMCM). You will test GSK assets and targets in established models of podocyte and mesangial cell pathology relevant to glomerular diseases. You will
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leading academic and industry experts, and an active academic/industry exchange program that aims to accelerate career development for the postholder employed on the project. About you The postholder should
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Health, Geography, Global Affairs, or a related field, possess sufficient specialist knowledge in the discipline to work within established research programmes, experience writing computer code in Stata
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of new research areas, present their research findings at international conferences and learn advanced methods in mass spectrometry and glycobiology – all with an emphasis on career development and