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Project Description The global transition toward a net-zero economy requires secure and sustainable supplies of critical minerals, with lithium forming the backbone of electric-vehicle batteries and
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CFD predictions with quantum gas LiDAR measurements, using simulated and experimental data to relate observed concentration fields to underlying emission sources. This will include the development
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a lack of a coherent and mathematically rigorous methodology for how health, environmental and population exposure and vulnerability data can be combined to optimally issue warnings in order to
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Neuropathies UK Charity. Further information on the projects can be seen on the University advert website: (https://www.exeter.ac.uk/study/funding/award/?id=5856 ) The PhD funding will be awarded on the basis
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computer scientists to design paradigms that compare "active" learning (standard VR) against "proprioceptive" learning (haptically guided movement), measuring outcomes such as path efficiency, force