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Field
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, analysis, applied/computational mathematics, bio-medical mathematics, data science, differential equations, mathematical logic, mathematical physics, numerical analysis, neural networks, representation
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project´s overall objective is to provide an experimental and numerical framework to predict CO2 gas hydrate self-sealing in geological formations. Our multi-scale approach is cross-disciplinary and aims
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caprock are situated below or in the CO2 gas hydrate stability zone. The CoolSeal project´s overall objective is to provide an experimental and numerical framework to predict CO2 gas hydrate self-sealing in
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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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holidays and five university closure days including closure between Christmas and New Year. Our reward scheme grants bonuses of numerous values for excellent work We are committed to staff development
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five university closure days including closure between Christmas and New Year. Our reward scheme grants bonuses of numerous values for excellent work We are committed to staff development through
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. the project will be delivered in partnership with colleagues from both the professional service and academic communities. The work will involve linking numerous large student education datasets to local student
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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
, and molecular diagnostics laboratories and in consulting on hematology patients. Clinical material includes both UCLA patient cases as well as hematopathology consult cases. Numerous teaching
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its future and associated space-weather hazard over the next 20 years. You will have a PhD (or close to completion) in geophysics, physics, applied mathematics or similar highly numerical discipline
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the institution. the project will be delivered in partnership with colleagues from both the professional service and academic communities. The work will involve linking numerous large student education datasets