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on LLM-based risk analysis and demonstrate its applications in various risk control measures. You will collaborate closely with other researchers at the division and contribute to building a shared
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types of cell-matrix adhesion complexes control stem cell pluripotency and differentiation. The project will involve the development of synthetic DNA nanostructures that measure and selectively perturb
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these materials at the end of their life is a growing challenge. Current recycling methods often damage the fibres, use a lot of energy, or have negative environmental effects. This project aims
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, as well as handling bioinformatics tasks such such as running analysis pipelines, performing quality control, and conducting downstream data analyses. You are expected to actively contribute to method
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humans. The fellowship is funded by the research council Carl Trygger Foundation with the aim to determine rates of methyl mercury (MeHg) photodegradation in boreal lake waters. The current perception is
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tools, version control (Git), and collaborative coding (strong merit) Strong understanding of statistics and machine learning for high-dimensional data (strong merit) Experience with workflow management
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tools, version control (Git), and collaborative coding (strong merit) Strong understanding of statistics and machine learning for high-dimensional data (strong merit) Experience with workflow management
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a short research plan outlining how the proposed work will fit into a One Health context. In our unit, research is conducted in the following subjects: Bacteriology Epizootiology and Disease Control
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high
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changes, cancer cells can evade the strict control on growth and form a tumor. New studies emphasize the importance of communication between tumor cells and the surrounding tissue for cancer to develop