11 computer-science-phd Postdoctoral positions at King's College London in postdoctoral
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are looking for candidates to have the following skills and experience: Essential criteria PhD in structural biology, biophysics, biochemistry, or related discipline Experience in Biological NMR and Structural
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About us The researcher will join the Human-Centred Computing (HCC) group at King’s at the Department of Informatics, which provides a supportive and collaborative environment and an exciting mix
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About us: The Faculty: The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in
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About us The Translational AI Research (TAIR) Lab develops trustworthy AI and carries it into real-world use. We are based in the Centre for Oral, Clinical & Translational Sciences in the Faculty
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are looking for candidates to have the following skills and experience: Essential criteria 1. PhD qualified in a relevant subject area, such as theoretical physics, computational physics, quantum information
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, computational physics, quantum information, quantum computing, applied mathematics, computer science or a closely related discipline. Candidates who have submitted their thesis and are awaiting award may be
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in biological engineering discipline or equivalent Ability to initiate and maintain a high-quality research programme in the specified scientific area Major contribution to the design and execution
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About us The Translational AI Research (TAIR) Lab develops trustworthy AI and carries it into real-world use. We are based in the Centre for Oral, Clinical & Translational Sciences in the Faculty
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mathematics, electrical/electronic engineering, or a closely related discipline. 2. A strong research track record in theoretical or computational wave physics, electromagnetism, optics/photonics
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department in its field, running a globally competitive programme of research and teaching. The Kennedy Institute is a biomedical research centre uniquely bringing together discovery science and early-stage