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Status: Open Applications open: 11/09/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Please note that this is for
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towards a new conceptual model that explains the individual dynamics of fatigue. The project will start with an analysis of already-collected data. You will use several forms of time series analysis
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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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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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-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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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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, 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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. You will gain experience in laboratory skills, hands-on design and manufacture of components, advanced data analysis and programming skills. You will work as part of a cohesive friendly team and as a
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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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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