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externalities of transport. The division is interdisciplinary with scholars originating from transportation engineering, economics, psychology, computer science, social data science, machine learning, mathematics
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group focusing on the development and application of advanced proteomics, multi-omics, and computational strategies to explore cellular heterogeneity across both healthy and diseased stem-cell hierarchies
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-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 world, as a basis for the analysis
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to your skill set and interests – related to building infrastructure and enabling easy access to shared datasets and moving them to the compute resources. The goal is to assist users in accessing and
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performance computing) services. We are looking for a new colleague for a newly established position, someone with insight into and interest in the technical aspects of FAIR data management solutions and
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Technology and Computer Science”, where you will have about 20 colleagues with a mix of research and industrial experience. We work with research, innovation, technology implementation, and education
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networks. We have strong collaborations with the Region of Zealand, with the Technical University Hospital of Greater Copenhagen and many more. Benefit from supportive policies for professional development
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cities, the university offers an excellent quality of life, a safe and sustainable urban environment, and a vibrant cultural scene. Enjoy access to strong industry and healthcare networks. We have strong
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, encouraging creativity, diversity, and teamwork. You will have a great opportunity to build strong networks with internationally known researchers at DTU and other universities as well as industrial partners