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Field
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data analysis. The PhD student will benefit from not only the excellent academic environment at The University of Manchester, but also from access to state-of-the-art instrumentation such as the recent
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effects on the human host, either beneficially, such as antibacterial compounds, or negatively, such as toxins. Computational analysis of genomic data highlights a vast number of pathways to such molecules
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literature review on flares and prodromal symptoms; (2) Complete analysis of survey data from >3000 patients to investigate patterns and progressions of flare symptoms; (3) Co-design (with patients and
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projects in the Centre for AI and Robotics Research. Funded PhD projects Adaptive Systems Research Group Artificial Intelligence in Games Continual and Open-ended Reinforcement Learning Information and the
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The PhD studentship will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a
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an individual Resistant, Tolerant, or Susceptible (R/T/S) to a virus? That is the key question we aim to answer in this PhD study. We have gathered data on viral outbreaks over ~20 years and sequenced hundreds
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(Quince). For information on eligibility and how to apply: http://www.uea.ac.uk/phd/mmbdtp Entry requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (MED/SCI
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Primary supervisor - Dr Dominic Cram This exciting PhD will examine how parental age and the social environment interact to shape offspring health in a wild mammal, by combining epigenetic
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The interplay of TCS with Harmonic analysis and additive combinatorics There will be opportunities for collaboration with faculty members and PhD students and to engage with the broader quantum computing and
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successful candidate will join the PhD programme of the Department of Mathematics at the University of Manchester. This 42-month PhD position (funded by the University of Manchester) is a full scholarship