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, contributing £50B to GDP and direct employment for >300,000 people in 12,000 companies. This project will collaborate with the REWIRE IKC (Innovation and Knowledge Centre: Transforming Net Zero with Ultrawide
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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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and Mind Building, South Parks Road, Oxford Applicants must hold a PhD in Microbiology and/or Molecular biology and will be responsible for providing microbiological data to facilitate the design of new
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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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screening (XChem), PDB deposition and biophysical techniques including SPR, DSF and NMR. Applicants must hold a PhD in Biochemistry/ Biophysics / Chemical Crystallography or a related field (or have submitted
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facilely applied as a photoluminescent layer, targeting in situ detection and non-contact visualization of surface temperatures and pressures. You should hold a PhD/DPhil (or near completion*) in materials
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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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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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take on College officerships, where appropriate. Candidates will have recently completed, or be close to completing, a PhD in a relevant subject. They will have publications in peer-reviewed journals
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will have or be close to the completion of a PhD in Neuroscience, Psychology or a closely related discipline. With in-depth knowledge of cognitive and computational neuroscience including motivation