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Field
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Specification Highest Qualification Educated to Bachelors degree or equivalent or proven professional work experience Postgraduate degree highly desirable Computer Literacy Excellent working knowledge of MS
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current research focuses on industrial plant security, digital twins, synthetic data for machine learning in privacy research, formalisation of security risk management and security and privacy
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industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here . The Centre has a long history of internationally leading research in
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How does a molecule walk? Computer simulations of molecular machines in action School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK Students Prof Sarah Harris, Dr
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years and in the relevant areas of Machine Learning / Artificial Intelligence, Credit Risk Modeling and Operations Optimization Modeling; The candidate must have strong programming skills in Python, and
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Salary: £48,822 - £56,535 per annum Contractual hours: 37 Basis: Full Time Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/ Job category
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in C++ and/or Python is expected, and experience in model analysis and parameter optimisation is beneficial. Experience in machine learning and neural networks is desirable. The successful applicant
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. The University of Melbourne provides an outstanding environment in which to develop innovative research in mathematical and statistical data science, with opportunities for collaborations with machine learning and
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component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in
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Associates and PhD students. We are particularly interested in candidates who bring expertise at the intersection of artificial intelligence, machine learning, and criminology. The successful candidate will