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are looking for a researcher with a PhD (or near completion) in engineering, data science, computational social science or a related discipline, with experience in data analytics, NLP or machine learning. You
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candidate will hold a PhD in theoretical or mathematical physics, with knowledge of random matrix theory and/or its applications to theory of disordered/chaotic systems, and with some numerical skills
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for Research Staff Development 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
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for numerical and analytical approaches to quantum many-body systems, in addition to a wider experimental and theoretical collaboration. The candidate should have a track record in condensed matter theory
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and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the
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origin of pituitary gonadotrophs and its relevance to reproductive function in health and disease. About You The successful candidate will hold a PhD (or be near completion) in a biological or closely
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for numerical and analytical approaches to quantum many-body systems, in addition to a wider experimental and theoretical collaboration. The candidate should have a track record in condensed matter theory
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under the Skilled Worker Route. Applicants wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. There is further information about this on the UK
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capable of breakthroughs. The research will mix state of the art numerical skills with analytic understanding. Your task is to predict new classes of materials that have not been considered before, beyond
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analytical techniques, opportunities to supervise students, and involvement in manuscript preparation and future grant applications. It is essential that you hold (or are close to completion) a PhD in cell