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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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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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is also acceptable. The successful candidate will have expertise at least in one of these areas: Theoretical understanding and hands-on experience with electric machine drives or power converters
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experimentally investigated. About you You should possess a PhD or DPhil (or be near completion of) in the field of engineering, physics or applied mathematics together with relevant experience in the field
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analysis of linguistic data Theoretical and empirical implications of the datasets for publication purposes Close interaction with the research team in Cambridge, India and Frankfurt The successful candidate
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superconducting qubits and millikelvin electronics Did you recently get your PhD in circuit quantum electrodynamics (cQED) and are now looking into taking the full potential of your skills into use for making new
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government, civil society, and the media. Using research expertise to inform public policy and maximise impact. About You You will hold a PhD in Political Science, Public Policy, or a closely related
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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
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develop, synthesise and characterise materials for this project. About You The post is suited to a PhD graduate with a background in materials chemistry or a related discipline. If you have a vivid
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or spatial profiling; Mouse genetics and in vivo experimentation; Lineage tracing, clonal dynamics, or immune repertoire studies Candidates should hold (or be close to completing) a PhD in a relevant field