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Transactions on Probabilistic Machine Learning. A Gelman, A Vehtari, D Simpson, CC Margossian, B Carpenter, Y Yao, L Kennedy, J Gabry, PC Bürkner, M Modrák (2020). Bayesian Workflow. B Carpenter, A Gelman, MD
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of Strathclyde will lead the wind energy training and research elements of the programme. Funded by EPSRC, this 4 year PhD studentship, at the University of Strathclyde is in the area of novel wind turbine concept
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Statistics, School of Medicine, University of Nottingham) Dr Wei Shen Lim (Honorary Professor in Respiratory Medicine, University of Nottingham, Consultant Respiratory Physician, Nottingham University
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, workforce competency levels, to name a few, which fall into obsolescence issues. A key component of telecoms asset management strategy is to manage system obsolescence, in terms of either the equipment
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Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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of the PhD will be open for the student to refine. We anticipate a mix of field data collection, laboratory and Sphagnum growth experiments, alongside a strong modelling component. The work will focus
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to applicants who are eligible for UK fee status (see https://www.lancaster.ac.uk/study/fees-and-funding/fee-status/ for further details). How to apply (there are 2 elements to the process): Please apply though
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expect the stipend to increase each year. The overarching goal of this project is to discover new Metal-Organic Frameworks (MOFs) that excel in hydrogen energy-related applications. The UK government
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of thousands of potential materials. A key component of the project is the creation of a high-quality defect database for functional mixed-anion semiconductors, which will be used to train the machine learning
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” component, which houses the highly sensitive high temperature superconducting (HTS) magnets. HTS being susceptible to damage from neutron irradiation and heat means they must be protected by spatially