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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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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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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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-element complex EPR spectroscopy in a collaborative project between three research groups at Manchester Chemistry. There is much current interest in characterising the nature of metal-ligand bonds in f
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for excellence in education, research, and innovation, which has been inspiring generations of thinkers for over 400 years. Trinity College Dublin- an introduction Post Summary: Applications are welcome
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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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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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Tillys Petit, Tillys.Petit@noc.ac.uk, National Oceanography Centre Southampton Project description: The Atlantic meridional overturning circulation (AMOC) is a central component of the climate owing
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Solubility, and dissolution dynamics, are key physico-chemical properties of active ingredient solid forms and are required across the chemical industry, however their determination remains a
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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