4 big-data-and-machine-learning-phd Postdoctoral positions at University of Nottingham
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the development of hierarchical computational materials discovery schemes combining random structure searching, machine learning, atomistic, and density functional theory (DFT) calculations to accurately and
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position is ideally suited to candidates with a strong interest in root adaptations and molecular cell biology. Applicants must be highly motivated and self-driven, with a PhD in molecular biology or a
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relationships in the solid state and in solution. This knowledge will be used to design new reagents and demonstrate their usefulness as late-stage alkylating agents. Successful candidates must have a PhD in
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neurophysiology techniques (opto/chemogenetics and Neuropixels recordings) who are either: 1) looking to gain experience in neurophysiology before applying for a PhD or 2) looking for their first postdoctoral role