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- KINGS COLLEGE LONDON
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Vision, Robotics, Evolutionary Computation, Deep Reinforcement Learning, and Machine Learning. This should include a proven publication track record. You should also have: Research Associate: A PhD (or
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ambitious who has obtained their PhD, has a strong portfolio of design practice and has begun an academic career in health research. The post holder will provide guidance to junior members of the research
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are looking for candidates to have the following skills and experience: Essential criteria PhD in either human geography or a cognate discipline in the social sciences, or in the arts (e.g. applied arts
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programme investigating early lung fibrosis at King’s College London. It is anticipated candidates will have a relevant PhD in immunology or respiratory sciences, and have experience with cell culture
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you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD degree (completed or in the final stages) in sociology, social policy
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for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area from a
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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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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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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