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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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available from October 2025 under the supervision of Prof. Helfrid Hochegger and Dr. Tony Oliver, at the Genome Damage and Stability Centre, School of Life Sciences. Deadline: 06th of June 2025 PROJECT TITLE
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This exciting opportunity is based within the Advanced Materials Research Group at Faculty of Engineering. Vision We are seeking PhD student that is interested in high pressure reactor systems that
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PhD Studentship available in the EPSRC Centre for Doctoral Training in Robotics and AI for Net Zero (RAINZ) This studentship is offered by the EPSRC Centre for Doctoral Training in Robotics and
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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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the needs of marginalised populations? If this sounds of interest, then we would welcome your application. In this role, you will work across several projects including- a randomised controlled trial of
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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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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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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