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presentation of results at national and international meetings. Required Knowledge, Skills, and Abilities: PhD or equivalent qualifications / experience in Theoretical or Computational Chemistry or related area
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should have, or be expecting soon to receive, a PhD in Mathematics, or related field, with demonstrated research experience in the mathematical foundations of AI, as well as substantial programming
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have a PhD or be a PhD candidate who has already submitted your thesis prior to starting the position, with a research track record on artificial intelligence, data science and computational social
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understanding of infertility and placenta-related complications of pregnancy. Applicants must hold a PhD in cell, developmental or reproductive biology. Experience in human embryology and cell biology methods
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), accessibility and inclusive design, feminism and intersectionality, trans and gender diversity studies, and misinformation, will be considered. The ideal candidate will have or soon be awarded a PhD from any
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31 September 2028) in association with a new Faraday Institution-funded project entitled “Accelerated Development of Next Generation Li-Rich 3D Cathode Materials (3D-CAT)”. You will have a PhD (or be
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: Postgraduate research experience including a Master’s degree or PhD, or about to obtain a PhD, in a relevant field (e.g. public health, social sciences). Experience of research involving vulnerable populations
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. 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 * An excellent theoretical and
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and
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into human biology and may in the future lead to improved understanding of infertility and placenta-related complications of pregnancy. Applicants must hold a PhD in cell, developmental or reproductive biology