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the fusion community, with very little data collated with EUROfusion. To quantify interplay between different plasma species, and the further impact of impurity seeding that is critical for benchmarking
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industry and research bodies to drive innovation across all UK manufacturing sectors, from SMEs to large global manufacturers. For details, visit the MTC website . Contact For further information on this PhD
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different gender. Co-funding Co-funding is mandatory with this scholarship. Consult the call documents for more information on what co-funding is allowed. In general, the following conditions must be
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Resources Engineering, Hydrology/Hydraulics, Environmental Science, Remote Sensing or a related field. Someone with previous training in computer modelling and coding, or with demonstrated experience in field
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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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programme of study You will then need to provide the following information in the ‘Further Details’ section: · a ‘Personal Statement’ (this is a mandatory field) – Use this template
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Actions English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website . Funding information: Contributions
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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