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(such as demand spikes) can threaten the power grid stability. The PhD project will identify and develop solutions to mitigate power grid instability caused by AI data center loads, ensuring resilient grid
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, heat removal, and temperature feedback. This PhD will develop and validate an integrated, computationally efficient modelling workflow for monolithic HPCR systems, coupling deterministic reactor physics
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situations. FIFA’s innovation department has several academic collaborations developing a broader decision support system for helping match officials increase the certainty of decision making and to explore
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in AI in healthcare and health data science as well as a wide range opportunities for developing skills in a rapidly developing field at one of the world’s leading research universities
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and interests. Possible research directions include constructing multiscale simulation workflows and applying them to materials design, and/or developing and implementing novel machine learning
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for three years. The project focuses on environmental sustainability in grain storage, developing telemetric robotic sensing and predictive modelling to control mycotoxin (Ochratoxin A) risk while reducing
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West Cambridge, Cambridgeshire, UK. The key responsibilities and duties are to work closely with collaborators to develop 2D/3D Nano-Percolation Modelling for Molecular Transport, Thin Film Integration
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University of Warwick. The CDT trains future research leaders capable of developing technologies that remove greenhouse gases from the atmosphere and replace fossil‑based systems with sustainable alternatives
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statistical tools (R and/or Python). Develop and conduct optimisation modelling (e.g. electricity market and grid dispatch). Assist in literature reviews and summarising academic research. Contribute to writing
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. While we value these core skills, a central part of this project involves advanced technical training. We are therefore looking for a candidate who is eager to develop these competencies further under our