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Field
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develop advanced nano-imaging and nano-sensing technologies, enhanced by AI analysis, to study viral infection in real time at the cellular and nanoscale level. This interdisciplinary research combines
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mental health omics data more harmonized, accessible, understandable, and useful to researchers, clinicians, industry, and people with lived experience. You will work closely with a multidisciplinary team
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-equilibrium conditions. The project is a UKRI/NSF collaboration with Virginia Tech, and the use of direct numerical simulation, modelling and analysis will be complemented with experimental data from
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– Mathematical Sciences). You will join a friendly, inclusive community of passionate staff and students in the Department of Mathematics and Statistics , who will motivate you to achieve your goals and be part of
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Primary Supervisor - Prof David S Richardson Scientific Background Genetic variation within populations is essential to their ability to adapt and survive, but most mutations that change function
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prediction model – the Met Office Unified Model – and in the use and analyses of the latest climate model output. Person Specification A degree in a quantitative science. An interest in data analysis and
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a more rigorous understanding of the role of geometry in machine learning. We are looking for an enthusiastic and highly motivated graduate with relevant background in at least one of the fields
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About the Role The Nuffield Department of Clinical Medicine is seeking to appoint a Researcher in Genomics of Infections to join Dr Azim Ansari’s group, based in the Peter Medawar Building
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vocabulary development. The PhD position is part of the EU Synergy Project SHAPE (https://www.ntnu.edu/shape/home ) which is examining the interaction of language and thought and specifically the visual
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warming independently reduce the efficiency of microbial carbon use, which can translate to high C-efflux and lower potential for C-sequestration. In other words, both warming and antibiotic contamination