73 data "https:" "https:" "https:" "https:" positions at University of Nottingham in United Kingdom
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of compounds which has been further exacerbated by a lack of detailed P2Y2 R specific structural information and pharmacological characterisation. We have recently developed novel selective fluorescent
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science, and data-driven optimisation. You will accelerate the transition from batch to continuous flow processes. You will interact with project partners in the pharmaceutical sector to demonstrate
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related PhD and a track record of successful research. They will be computer literate with strong communications skills and a proven ability to work as part of a multidisciplinary team. They will be excited
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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
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the ability to record and analyse information and be able to produce accurate written reports. Candidates should also have excellent communication skills and have the ability to meet deadlines and work
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an attractive annual tax-free stipend; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. For full information about the programme, the research projects
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create predictions for how foragers should vary in their stay-or-leave decisions for different types of decision algorithm. You will then get to test those predictions using data from humans and rodents
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30 Jan 2026 Job Information Organisation/Company University of Nottingham Research Field Biological sciences » Other Environmental science » Ecology Researcher Profile Recognised Researcher (R2
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University Business School is one of the UK’s leading business schools and a globally ranked centre for management education of the UK’s most successful universities. Further information about the School is
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proposals for both individual and collaborative projects, utilizing established methodologies and techniques to execute research effectively within the specified area; To analyze data meticulously, interpret