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scholarships or funding schemes. Students will not be allowed to supplement fees via self-funding. Application process: Please click on the 'Apply' button above to apply for a PhD in Biochemistry via
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, alongside other major global pathogens including hepatitis B and C viruses, HIV, SARS-CoV-2 and Dengue. The postholder will be responsible for designing and optimising sequencing approaches, leading data
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intensifying upper ocean mixing processes. However, major gaps in our understanding remain due to challenges in observing and modelling the Arctic Ocean. Research Methodology The aim of this project is to
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About the CDT The UKRI AI Centre of Doctoral Training in Designing Responsible Natural Language Processing is dedicated to addressing the increasing necessity for an ethically grounded approach in
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contribute to the development of: An R package for path-space rejection sampling for diffusion processes. An R package for Bayesian Fusion pooling inference, such as privacy Bayesian Fusion and constraint
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infection. As part of this work, the postholder will also explore the contribution of the host microbiome to resistance emergence. (Research Associate) Applicants must have a PhD (or be working towards a PhD
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
students from all backgrounds to access our programmes. To help address any questions about doctoral study and the applications process we are hosting two information events for interested applicants: Friday
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insights from geometry and topology to discover new applications of machine learning. Multiple positions may be available. Role Requirements The successful candidate must have a PhD (or close to submitting
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. You should have GMC registration, MRCP (or equivalent) and higher degree (DPhil/PhD) as well as CCT (or equivalent) in acute general/internal medicine, infectious disease/microbiology. Application
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This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based