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and modeling: Leverage complexity theory principles and tools such as system dynamics, agent-based modeling, and network analysis to modeling to electricity grids, digitalized energy networks, and socio
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
PSCSR-seq. Training PhD students and post-docs to analyze large-scale datasets and interpreting results. Provide input to projects in our group and help with illustrating complex biological datasets. Your
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
seq like PSCSR-seq. Training PhD students and post-docs to analyze large-scale datasets and interpreting results. Provide input to projects in our group and help with illustrating complex biological
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mission-driven research center. You will be operating in an international environment with a complex stakeholder landscape including top scientists and biotech alliance networks from all over the world. You
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developing models of spinal motor function, primarily based on neuronal network modelling using rate-based neurons. We work as a team, and the person is expected to collaborate with the rest of the group
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systems analysis and modeling: Leverage complexity theory principles and tools such as system dynamics, agent-based modeling, and network analysis to modeling to electricity grids, digitalized energy
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with particular attention to: Advanced Cell-Based Models Development of robust 2D and 3D models, including organoids, to investigate complex physiological and immunological mechanisms relevant to animal
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, and authorities—creating a strong network of partners and collaborators.Create a meeting point for ideas, promoting DTU’s education, conferences, and seminars to inspire engagement and growth. What
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Job Description If you have solid English skills and know how to creatively navigate a complex landscape of internal communications needs - you have just the right foundation for this exciting
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), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual