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. The Department of Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Surface Structures The Data-driven Atomistic Simulation (DAS) group, led by
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combination of remote sensing, machine learning, historical map analysis, records-based research and selective archaeological surveys. It is working to make records of these sites openly available in an Arches
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, using a combination of remote sensing, machine learning, historical map analysis, records-based research and selective archaeological surveys. It is working to make records of these sites openly available
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of results. Highly motivated and have good communication, project management and organisational skills. Willing to learn new skills and techniques. Desirable Experience in proteomics and cancer models would be
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Spiders” awarded to the Computer Science Department of the University of Manchester, see https://www.renaissancephilanthropy.org/learning-to-do-math-with-vampires-and-spiders The formal methods group
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/10.1021/acs.jpcb.4c01558 ], but they lack accuracy for predictive modelling. Transferable machine learning potentials, like MACE-OFF [https://doi.org/10.1021/jacs.4c07099 ], effectively achieve quantum
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manufacturing sectors. Applicants should have a good background in mechanical, energy, or related engineering disciplines, with knowledge of thermal-fluid sciences, and be familiar with or willing to learn
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: The Smart Manufacturing & AI Systems Engineer (KTP Associate) will work on: Data acquisition pipelines and IoT sensor integration Building machine learning models for forecasting, optimisation, and automated
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, including potential advancement to Associate Professor. Teaching & Curriculum Development Design and deliver undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning
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statistical machine learning techniques to mine self-reports and sensor data to gain new insights towards assessment and longitudinal monitoring of bipolar disorder; b) work on sleep datasets exploring