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Research Assistant / Research Associate in Frontiers of Atomistic Simulation Techniques (Fixed Term)
. The successful candidate will hold (or be close to obtaining) a PhD in Physics, Theoretical or Computational Chemistry, Materials Modelling (or closely related disciplines), with a proven track record in
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and a member of the Machine Learning & Global Health Network, a multi-institution research laboratory with members at Oxford, Bristol, Imperial College London, University of Copenhagen, and Singapore
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and a member of the Machine Learning & Global Health Network, a multi-institution research laboratory with members at Oxford, Bristol, Imperial College London, University of Copenhagen, and Singapore
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