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scientists to develop and trouble-shoot new/complex protocols for implementation in RHS while participating in existing funded research. Candidates should have proven skills and expertise in analytical
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in the subject as well as good analytical skills are desirable. Skills in CAD, powder-bed fusion technology, materials characterisation, microscopy, etc., are considered as merits. Contract terms Full
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, usability, and insight into leakage dynamics across diverse constructions. Research Objectives The project is structured around three synergistic work packages: Descriptive Analytics: You will conduct a
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to unresolved real world situations. General transferable skills to be developed include independent and team-working, computing and analytical skills, report writing and presentations skills. Remote Working
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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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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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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