4 condition-monitoring-machine-learning Postdoctoral research jobs at University of Nottingham
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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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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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conditions of reduced water availability in the laboratory of Dr. Gabriel Castrillo (Sutton Bonington Campus, University of Nottingham, UK). The purpose of this role is to support a multidisciplinary BBSRC
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-environment screen of duckweed growth under various conditions. The candidate will then focus on a subsection of specific stress combinations and explore the role that the microbiome may play in providing