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or a numerate discipline OR equivalent experience. Broad knowledge of probabilistic models, Bayesian inference and machine learning methods. Good knowledge of R, Python or both (links to project source
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of the art in mathematical and numerical modelling of CO2 storage? This might be the right position for you! About the project/work tasks: About the project TIME4CO2 TIME4CO2 aims at advancing simulation
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modeling formation dry-out and salt precipitation during CO2 storage. The candidate will work on developing numerical models for salt precipitation at pore- to continuum-scale, with special focus on how
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calculations. In this collaboration, the experimental work will be carried out at the University of Salford, whereas the mathematical analysis and numerical modelling will be done at Nottingham. The work will be
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on the Front Range of the Rocky Mountains with views of 14,000 foot peaks, and offers access to numerous cultural, recreational, and outdoor opportunities. Position Summary Temporary Postdoctoral Fellow
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broad range of contemporary health-care related issues including: • Health Services Innovation • Integrated Care Models • Health Workforce Development • Symptom Management. What you need to succeed
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SRH’s Program 1 (Process Integration and Sustainability) and undertake a new research activity under Project 1.2.4 – Numerical Modelling of Electric Smelting Furnace Phenomena: Melting of Direct Reduced
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and knowledgeable in the areas of stress analysis (including the Finite Element Method), material characterisation (particularly flow stress determination and modelling), mechanical testing methods
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defence of your doctoral thesis is a prerequisite for employment. In addition to your PhD, it is an advantage if you have: experience with ocean numerical model systems, such as the Regional Ocean Modelling
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scales affect the extent of salt formation. The project targets modeling formation dry-out and salt precipitation during CO2 storage. The candidate will work on developing numerical models for salt