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institutions. The post-holder will have the opportunity to teach. Applicants should hold PhD (or close to completion) in Physics or a related field. A strong background in Galaxy dynamics and gravitational
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students in education and research on the cutting edge of chemical technology, applied physics and biomedical technology. Our fields of application include sustainable energy, process technology and
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systems to applications in urban science, planning, and decision support. Qualifications Required: PhD in Computer Science or a related field, with a focus in databases, data systems, theory, or algorithms
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Poltavskyi, a leading expert in MLFFs, and within the Theoretical Chemical Physics group led by Prof. Alexandre Tkatchenko, one of the world’s leading groups in machine-learning force-field development
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is focused of molecular inorganic chemistry, and the successful candidate will contribute to our current programme of investigations focused primarily on mechanistic studies of photoredox catalysis
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advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international
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& Medicine. Department: Res Dept of Biomedical Computing. Contact details:Dr Konrad Wagstyl. konrad.wagstyl@kcl.ac.uk Location: St Thomas Hospital. Category: Research. THIS VACANCY IS OPEN TO INTERNAL
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, Education, Knowledge & Skills Doctorate in Mathematics or closely related field (for example, mathematics, physics, or computer science), upon start date. Evidence of research potential in mathematics with a
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forms of stomach cancer, specifically those caused by germline mutations in the CDH1 gene. PRIMARY DUTIES Perform independent projects and participate in the design of research studies. Process and
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AI-modeling and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize treatment plans, enhance