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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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the road wheel in a steer-by-wire system, a more advanced interplay between the driver and the car's safety systems can be investigated. The goal is to improve the safety systems of the vehicle by involving
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, flexible and adaptable distributed system of systems. Example of specific problems are: -Information interoperability supported by ontologies. -Unified data models for operational environmental impact -SOA
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, image processing, biological modelling and biostatistics. Experience working with (or knowledge in) plant cell walls, phytohormones signalling, mechanobiology, plant growth and development. Experience
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for protein structure and function determination (e.g., X-ray crystallography, NMR, cryo-electron microscopy). You will learn how to use advanced bacterial culture conditions to grow the species of the human
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. The planned dissertation work focuses on how employees within the municipal company Vakin work with data management, and how organizational structures affect the possibility of creating a data-driven culture
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immunobiology. State-of-the art and advanced methodologies are applied in a professional research environment characterized by its well-established international profile. The institute has 30 research groups with
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access to advanced infrastructure for experimental and theoretical studies. The international environment and good opportunities for interdisciplinary collaborations enables PhD students at the department
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Centre in Uppsala, which facilitates collaborations with research groups in biology, pharmacy, medicine and SciLifeLab and gives access to advanced infrastructure for experimental and theoretical studies
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spectroscopies, as well as molecular biology for introducing site specific alterations. Atomic level structural insight will be obtained via single particle analysis cryo-EM and snapshot serial crystallography