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We are seeking a well organised and self-motivated researcher to work on the Faraday Institution funded SOLBAT and/or LiSTAR projects, reporting to Prof. Mauro Pasta. Applicants must hold PhD/DPhil
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at international conferences. Skills and Qualifications The applicant should: Be a researcher who has received a PhD or its equivalent in experimental Condensed Matter Physics or in a related field of study from
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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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Number: 170516 Minimum Education and Experience: Qualified candidates are required to have a PhD or an equivalent doctoral degree and experience in neuroscience, neurotoxicology, epigenetics, or other
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research supervision of doctoral students, teaching at summer schools etc About You You will have or be close to the completion of a relevant PhD/DPhil in statistical genetics or related field. A proven
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), and the Massive Data Institute (MDI). The postdoctoral fellow will be housed at both CS and MDI. Applicants should have a PhD in computer science with an emphasis on AI systems, vulnerabilities
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of results at scientific conferences and in peer-reviewed literature. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of interfacial chemistry, or materials
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in human geography or a cognate discipline in the social sciences – at completion
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on qualifications and relevant skills acquired and will also be determined by the funding available. About you Applicants will hold a PhD/DPhil or be near completion of a PhD/DPhil in a subject relative to Structural
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learning, and signal processing applied to conduct high quality research with a particular focus on neuropsychiatric and cardiovascular diseases. Working in a large team of 15 PhD students, several postdocs