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The project is structured around three synergistic work packages: Descriptive Analytics: You will conduct a comprehensive analysis of the extensive Pulse dataset, uncovering latent patterns and taxonomies
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Chemistry, Department of Chemistry – BMC The Department of Chemistry – BMC conducts research and education in analytical
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value a collaborative attitude and an interest in working both in teams and independently. Self-motivation, persistence, and numerical analytic ability are important personal qualities for this position
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simulation and modelling tools In addition, we look for a candidate with strong communication and collaboration abilities as well as excellent problem-solving and analytical skills that have been demonstrated
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of the GAG biosynthetic machinery Applying novel GAG analytical technologies to investigate how changes in GAG structure and organisation drive and/or respond to shifting developmental stages. Working
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chemical reaction networks with robotic systems and analytical science. You will also learn how to programme robotic systems and how to implement aspects of deep learning and neural networks for reservoir
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disabilities in the early modern period. The aim is to radically historize healing and dis/ability by significantly broadening the analytical framework from a focus on patients towards an actor-centered approach
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functional assays. Strong foundation in molecular biology techniques. Problem-Solving Skills: Excellent analytical and problem-solving abilities with a proven track record of troubleshooting experiments
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addresses these challenges in an interdisciplinary approach of A) polysaccharide chemistry, B) analytics, C) modelling, and D) bio engineering applications. Early career researchers with backgrounds in (food
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English) that shows your analytical and writing skills in law or a related discipline. via email to: ● Dr Christiane Ahlborn (ahlbornc@tcd.ie) and Dr Ghaiath Hussein (husseing@tcd.ie) before