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PhD in Computer Science: Sustainable AI for Plant Species Recognition in Tropical Forests
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planning, student intake forecasting, tuition fee setting and new programme financial viability assessments. This involves collaborating with other professional services teams, analysing complex information
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new methods to measure resiliency and holistic sustainability Assess aerospace supply chain resilience Workshops with aerospace industry, their steels supply chains and the wider manufacturing sectors
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Overview We are seeking a highly motivated Research Associate in Chemical Biology to develop innovative methods for the preparation of DNA containing novel carboxymethylated phosphate triesters
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of Information, Journalism and Communication at the University of Sheffield is one of the major research and teaching establishments in the UK. We are committed to a research and teaching programme that takes
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media and society, or equivalent experience. Experience of delivering excellent, innovative courses involving the teaching of digital identities, social media cultures, digital activism, digital methods
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and time-resolved spectroscopic studies on such systems using laser-based methods and characterizing reversible interactions between such complexes and biomolecules is desirable. You will be integrated
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A search for pharmacological inhibitors of a cancer-associated adhesion GPCR in the zebrafish embryo
are seeking a motivated student with interests in developmental biology, disease modelling and drug discovery. This interdisciplinary project combines both wet bench work and computational work (bioinformatics
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-01126-2 Purshouse RC, Deb K, Mansor MM, Mostaghim S, Wang, R. A review of hybrid evolutionary multiple criteria decision making methods. Proceedings of the 2014 IEEE Congress on Evolutionary Computation
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experience of treatment. The overarching aim of the project is to use machine learning methods to understand why many people who are referred for treatment will drop out prematurely. To do this, two studies