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cell biology and disease modelling. The successful applicant will employ human pluripotent stem cell (hPSC)-based models and in vitro differentiation to dissect the links between chromosomal copy number
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of advanced hardware architectures. The continuing evolution of computing hardware has led to enormously complex architectures with execution models that integrate advanced memory technologies and hardware
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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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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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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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Next generation modelling for the pharmaceutical industry
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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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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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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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interconnected computing nodes, actuators and sensors, communicating over networks, to achieve complex functionalities, at both slow and fast timeframes, and at different safety criticalities. Future connectivity