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and impactful research into intrinsic motivation, with a particular focus on building computational theories that predict human behaviour in the absence of extrinsic rewards, and testing them using
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We are looking for a Postdoctoral Research Associate reporting to the Principal Investigator Prof Yee-Whye Teh, they will be a member of the Oxford Computational Statistics and Machine Learning
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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laboratory automation in a highly collaborative research environment. About you You will have a PhD (or equivalent) in a relevant area or field related to this project (Computer Science, Robotics, Mechatronics
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of neuro-symbolic Computational Logic and Argumentation. The position offers an exciting opportunity for conducting internationally leading and impactful research in AI. The Research Assistant/Associate will
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Postdoctoral Research Associate ( Job Number: 26000319) Department of Computer Science Grade 7: - £38,784 to £46,049 per annum Fixed Term - Full Time Contracted Hours per Week: 35 Working
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Full-time: 35 hours per week Fixed-term: 24-month contract The opportunity: Interdisciplinary science is at the forefront of designing solutions to building resilience to climate change. Join an interdisciplinary team using cutting-edge approaches to explore the design and development of climate...
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. The post‑holder will have the opportunity to teach. Applicants should hold a PhD, or be close to completion, in physics, engineering, computer science or a closely related discipline and have a strong
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their expertise in being part of a laboratory delivering assay results to underpin a multicentre drug screening programme in ALS. This post is suitable for a bioscience graduate with excellent organisational skills
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Trust-funded project on Plasma-Assisted Combustion (PAC) Modelling of Ammonia, in collaboration with the York Plasma Institute. The successful candidate will develop and apply advanced computational