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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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at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have
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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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the final stages of completing) a PhD in Neuroscience, Biomedical Engineering, or a related area. They should have good knowledge of sleep physiology and prior experience of sleep data collection and analysis
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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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for more information. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances
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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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to meet deadlines and building effective relationships with internal and external partners. You will collect, analyse and interpret quantitative and qualitative project data, generating insights to support
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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