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preferences for them using birds as a model system. Capitalising on recent advances in computational neuroscience and machine learning, specific objectives are to (1) quantify common design features of avian
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Searching for Sterile Neutrinos and other Beyond the Standard Model phenomena with SBND School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Rhiannon Jones, Prof Vitaly
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supply chains, and modelling integrative systems for hydrogen and carbon removal technologies. Supervisors work closely with industry partners, and we welcome applicants interested in energy
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Eissa Application Deadline: Applications accepted all year round Details Artificial Intelligence (AI) is transforming healthcare by enabling data-driven decision-making and predictive modelling. Engineers
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highly complex and is difficult to model all the processes from the drivers to the variations in electron fluences from first principles. However, there are alternative data-driven approaches that are able
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industry experts, gaining valuable skills at the interface of hydrogeology, environmental engineering, and computational modelling. Research Objectives will focus on: (a) Enhancing CoronaScreen by
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Neuro-Symbolic Methods for Explanation-Based Reasoning with Large Language Models School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Marco Valentino, Prof Nikos
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sectors are looking for multifunctional and safer materials for innovation and development of new technologies. This research will help you to develop a combination of modelling and simulation skills in
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sector. We are seeking a motivated student with interests in developmental biology and disease modelling. This interdisciplinary project combines both wet bench work and computational work (image analysis
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to develop and validate paediatric bone models through a combined computational and experimental approach, in collaboration with clinical partners at the Sheffield Children’s Hospital. The ideal candidate will