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machine learning for functional materials design. You should have a PhD in Computer Science, Chemistry, Physics, Materials Science, or a related discipline, with a commitment to developing collaborative
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environment that this creates is central to all of the groups work. You must therefore be able to interact effectively with colleagues with complementary skills (e.g. structure prediction or measurement physics
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relevant methods are population dynamics theory (e.g. integrodifferential equation models or point process models) and Bayesian statistical methods (customising routines rather than simply using Bayesian
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collaborators. The aim is to automate where possible to free up researcher time. You should have a PhD in relevant field (Chemistry, Computer Science, Engineering, Materials Science or Physics etc.), expertise in