4 image-processing-and-machine-learning 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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the following areas: Root biology, cell/developmental biology, confocal or light-sheet imaging and molecular biology such as techniques involving protein-protein interactions. A track record of publishing
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, intracranial injections of viral vector (to allow optogenetic/chemogenetic manipulation), electrophysiological experiments (single cell neurophysiology) and histology/imaging. You will be based in Dr Sollini’s
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the day-to-day running of a research project and a track record of high-quality publications are expected. The ability to foster a supportive, creative research culture and the commitment to learn from