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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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experimental error. Thus, if AI systems are supposed to perform research autonomously, they need to have error-reasoning ability. This fully funded PhD Studentship forms part of the Error-Reasoning Agents (ERAs
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coverage. However, translating such measurements into robust emission fluxes remains difficult due to atmospheric transport effects, complex flow environments, and significant uncertainty. This PhD project
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extraction materials. Addressing these challenges requires fundamentally new approaches that integrate mineral liberation, molecular recognition, and process engineering. This PhD project contributes
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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
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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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on their own a step towards a safer and more reliable science, or is it a problematic development that removes the human from a key checkpoint in the scientific process? The goal of this fully funded PhD project
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PhD Studentship: Building Brain Circuits: decoding RNA processing in the developing mammalian cortex
in neuropsychiatric disorders, yet the underlying mechanisms remain poorly understood. This PhD project will investigate how an RNA processing enzyme controls the development of cortical circuits in