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. The ability to accurately model these molecules using computational chemistry is limited due to a lack of efficient Gaussian basis sets that systematically reduce errors as their size is increased. In
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”. This exciting opportunity involves leading the development of advanced data-driven mathematical and computational models to suppress turbulence in pipe flows, contributing to pressing engineering efforts toward
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statement when you apply. Criteria Essential or desirable Stage(s) assessed at Proven experience in portfolio/programme management with demonstrated team leadership, and successful implementation of portfolio
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the Policy Modelling for Health project of the Population Health Improvement UK Network (PHI-UK) Supervisors: Aki Tsuchiya: https://www.sheffield.ac.uk/economics/staff/academic/aki-tsuchiya Robin Purshouse
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Fault Detection and Diagnosis of Industrial Machinery School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Hua-Liang Wei Application Deadline: Applications accepted
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reference the application criteria in the application statement when you apply. Essential criteria Postgraduate qualification in a relevant subject such as a PhD or MSc in Psychology, Data Science, Computer Science
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within and aligned to the core substantive spine of our undergraduate Politics and International Relations programme. The School provides an inclusive, pluralist and friendly place to work. We are also
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Biological Engineering PhD Research Project Directly Funded UK/EU Students Dr Brant Walkley Application Deadline: Applications accepted all year round Details Cement, the ‘glue’ in concrete, is the durable
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Computational imaging: seeing beyond the capabilities of conventional optics School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Andrew Maiden Application Deadline
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Adopter programmes, where appropriate. We are looking for an enthusiastic, motivated graduate in (health) Data Science, Computer Science or related field who is interested in the deployment, user acceptance