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-edge adaptive mesh refinement techniques; a lightweight prediction tool developed upon the simulation data to predict key thermofluidic parameters for the design of high heat flux cooling components
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their suitability for real-time emergency decision-making. This project addresses this challenge by combining physics-based modelling with data driven surrogate approaches. The first stage of the project will involve
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working. You will hold a PhD in a health or science related field with experience in designing and conducting research using a range of research methodologies, together with experience in data collection
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models and in vitro assays. Experience in phototherapy, programming and large data analysis is a plus. Excellent communication skills and fluency in English (written and oral). Our offer The project is
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, ion beam transport and detection, laser spectroscopy for atomic and nuclear physics, high voltage systems, and data analysis. The minimum academic entry requirement for a PhD in the Faculty of Science
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to single-connectivity baselines Carry out research in other related areas Disseminate findings through scientific journals and international conferences For further information, please contact: Dr. Jorge
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qualifications, prior experience of corrosion of electronics or similar topics is an advantage. A combination of knowledge in electronics, materials, corrosion, and reliability is preferred. Further information
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regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions
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temperature interaction is not fully understood. This information is important as it can be used to inform new product formulations. Therefore, the aim of this Master of Research is to gain a fundamental
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requirements. Experience working with hydrological models and hydrological data is preferred. This studentship is open to UK/Home applicants; the successful candidate will be based in (or around) Newcastle upon