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Specification Essential Criteria: Qualifications A good first degree in Chemistry. A PhD (or be close to submission) in a relevant area of physical chemistry or chemical physics. Experience Experience in
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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experimentalists and computational groups. You will be expected to present your results at local and international conferences. Your profile Applicants should hold a PhD in data science, computer science
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experience: Essential criteria PhD in computer science, AI or related area Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS
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with the attributes listed in the requirements section are strongly encouraged to apply. Education Requirement: PhD or equivalent in psychology, neuroscience, cognitive science, biomedical engineering
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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qualifications at the PhD level in animal science Research experience in dairy cow nutrition and feed evaluation Research experience with the use of stabile isotopes and modelling rumen flows Experience in
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, Bioinformatics, Molecular Biology, Developmental Biology, Computational Biology, etc.). Exceptional skills in molecular biology, genomics, human cell culture, and bioinformatics. Preferred Qualifications Education
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About us: This is an exciting opportunity to join the Health Psychology Section, part of the School of Mental Health & Psychological Sciences at King’s College London, as well as the Centre
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants