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lab, you will lead a research project focused on dissecting how the various cellular tasks of MYC are orchestrated in individual cells. You will integrate loss- and gain-of-function tools (e.g., CRISPR
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that ensures integrity in our work. Therefore, we strive for and take responsibility for driving the democratisation of digital technologies, so that everyone has the opportunity to actively participate in
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transportation decision-making by exploring a wide range of possible scenarios, including unexpected and negative outcomes. By integrating machine learning, metamodeling, and causal representation learning, we aim
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insight herein. We are interested in PPIs that are therapeutically relevant, in particular between integral membrane proteins and their intracellular protein partners, also known as receptor complexes. Job
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for empirical statistical analysis, as well as possible experimental designs to validate findings. Empirical setting The research will utilize data from the Danish Innovation Fund, integrated with databases
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wind turbines, etc. Our research on anti-corrosive coating mainly covers development of novel and advanced anti-corrosive coatings, non-destructive coating performance evaluation, coating integrity
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The candidate will be integrated in the section SDU Robotics, which is at the core of the Odense Robotics Cluster involving Universal Robots, Mobile Industrial Robots (MIR) and 120+ other companies. We are a