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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area from a reputable university Experience with mouse models
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for improving the environmental impacts of wood production over broad spatial scales. Required Skills and Qualifications: PhD in a forestry- or conservation-related discipline. Strong background in field survey
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these processes, with the aim of understanding how ageing promotes CH progression. You will hold a PhD within the area of molecular biology or have thesis submitted at time of application, and will have experience
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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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successful candidate will have a PhD (or equivalent) in the field of space physics or a closely related area. They will have the skills and abilities to conduct high-quality innovative research and to
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. This post is advertised as full-time (35 hours per week), however, we are open to considering flexible working patterns. Your skills and attributes for success: A PhD (or to be obtained within 3 months) in a
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involves high level of collaboration with both the QMUL Space Plasma Group and the QMUL Detector Development Group. About You The successful candidate will have a PhD (or equivalent experience) in the field
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supervise junior researchers. Uphold best practice in ethics, data management, and research governance. About You To demonstrate at least one of the following : A PhD (or near completion) in computer science
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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