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of disease dynamics that will be used to assess the potential impact of novel treatments on controlling the transmission of emerging respiratory infections in highly heterogeneous populations. As part of
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of the following topics will be a plus: Application of machine learning to power grids/cyber-physical systems Knowledge of working with MATLAB/Python Power grid optimisation/control Experience working with power
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year project is funded by The Department of Mechanical, Aerospace and Civil Engineering. Home students are eligible to apply. The successful candidate will receive a tax free stipend set at the UKRI rate
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immunocompromised patients. Resistance is often acquired before patient infection through environmental exposure to fungicides, highlighting the urgent need for effective outbreak tracking and control. This PhD
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of influence: The Ries lab is developing super-resolution microscopy methods for structural cell biology and is looking for a PhD student to join the team. About the Max Perutz Labs: The successful applicant
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occurs. Insights from this research could greatly advance our understanding of AQP biogenesis and ER quality control. By identifying factors that promote proper folding and conditions that cause misfolding
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This fully funded PhD studentship is aligned with AURORA³, the new National Strategic Infrastructure currently being built at the University of Surrey to support cutting-edge research in audio
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The University of Exeter’s Department of Public Health and Sport Science is inviting applications for a PhD studentship funded by PVolve and University of Exeter to commence on 22nd September 2025
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techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will
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; Documenting dataset provenance and performing simple quality control checks; Prepare a Zenodo release with FAIR compliant metadata; Draft sections (e.g. “data description” and “technical validation”) of a