6 big-data-machine-learning-phd Postdoctoral research jobs at University of Nottingham
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candidate must have experience in the following areas: molecular cell biology, plant phenotyping, and image/data analysis, as well as working as part of a large team. A track record of publishing research is
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and plant nutrition. Applicants must be highly motivated and self-driven, with a PhD in a relevant plant sciences area (a PhD topic on plant-microbiota interactions is desirable). It is desirable
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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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extinction of learned fear and avoidance’. This multi-disciplinary project will combine in vivo heart rate monitoring and optogenetics with behavioural testing in rats to (1) characterise the relationship
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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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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