165 parallel-and-distributed-computing-phd Postdoctoral positions at University of Oxford in United Kingdom
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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
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of Medical Sciences (AMS). Find out more about the Aye research and group here : About you Applicants must hold a PhD in Chemistry, Chemical Biology, or a related area (or be close to completion), prior
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will hold, or be close to the completion of, a relevant PhD/DPhil together with relevant experience. You will have experience in experimental high-pressure and/or high-temperature research, ideally with
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dynamics and (at intermediate redshifts) strong gravitational lensing, thus preserving and extending the team’s lead in this field. Applicants should have a PhD (or close to completion) in (Astro) physics
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will be required due to regulated activity involving children and ‘at risk’ adults. The successful candidate will hold, or have submitted a relevant PhD/DPhil (or equivalent) in a relevant discipline
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at meetings/conferences. • You must hold a relevant PhD/DPhil in Pharmacology or neuroscience (or be close to completion) with experience in conducting in vivo mouse behavioural experiments
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of photocatalytic reactions, and its application on CO2 recycling and is funded by the European Commission. Find out more about the Stamatakis research and group here About you Applicants must hold a PhD in Chemistry
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institutions in the programme grant and with supporting industrial partners. About you You should possess a university PhD degree in mechanical engineering or a similar discipline, preferably with experience
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and Prof Paul Shearing. The post is funded through a strategic research partnership and is fixed term for up to 2 years. To support the programme, the post holder will be required to carry out research
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on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related discispline. You