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infectious disease epidemiology and mathematical modelling in Biology and Medicine. Experience in parameter estimation, knowledge of Bayesian methods and computer programming skills would be an advantage. Good
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’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F. Leave the ‘Research Area’ field blank Select ‘PhD in Process Industries; Net Zero (PINZ’) as the
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through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing
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the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed
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. BSc degree in Biology, Biomedicine or a relevant discipline (Biochemistry, Neuroscience) MSc degree (or equivalent) in Epidemiology, Biostatistics, Data Science or related discipline. Strong
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Application deadline: 15/08/2025 Research theme: Computer Science No. of positions: 1 Eligible for: UK This 4-year PhD project will be funded by DLA studentship and is open to UK students
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via joint activities with EU and UK cybersecurity hubs, preparing you for careers in trusted electronics, AI security, and national critical infrastructure protection. Graduates from this programme will
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The UKRI-funded 5-year project, 'Colombo: Layered Histories in the Global South City', selected for funding by the European Research Council under its 'HORIZON' programme, is recruiting to its
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The UKRI-funded 5-year project, 'Colombo: Layered Histories in the Global South City', selected for funding by the European Research Council under its 'HORIZON' programme, is recruiting to its
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project would suit students with a background in electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering