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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
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analyze the resulting datasets using biophysical modelling. A willingness to learn and employ biochemical approaches and interact with external collaborators in molecular biology and biochemistry
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biological, and live cell fluorescence imaging experiments. Associated structural analysis of the proteins by cryo-electron microscopy will be undertaken via collaboration with other workers. This full-time
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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assessing sustainable routes for large-scale removal of greenhouse gases from the atmosphere. As well as interact with others in this programme within the duration of the post, and the results of the PDRA
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also having responsibilities to plan and manage fieldtrip and equipment logistics. Alongside this project, the PDRA will have the opportunity to interact and develop collaborations with a wider range of
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, atomic-scale point defects in wide-bandgap solids can exhibit a deterministic interaction between emitted photons and electronic and nuclear spins that enables photon mediated entanglement for distributed