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concerned with optimal transport for inverse problems. Optimal transport for inverse problems One of the central topics of the research projects is the further development of theory and methods
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address complex environmental challenges. About the Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies
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functional properties of protein-based materials. In this position, you will develop methods for the recombinant production of post-translationally modified structural proteins, investigate their effects
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Software Engineer] to a postdoctoral-level position. The desired start dates would be as soon as possible in 2025. Are you more of a programmer than your researcher colleagues? Are you more of a researcher than
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on satellites? In other words, do you want to build space lasers? We are now looking for a highly motivated Postdoctoral Researcher to join our team in a project to develop GaAs-based PIC lidar for space
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oxygenates production. In this project, we particularly aim green methanol production in the context of circular economy. The research activities in this doctoral thesis are planned with the view of developing
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, contributing particularly to the continuous development of our research-based educational offerings. In particular, we expect you to contribute to our undergraduate program by: Teaching diverse courses in
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, and artificial intelligence meet to address complex environmental challenges. About the Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops
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stability theory, modeling & identification, optimal control, certifiably safe & robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven
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leading reputation in basic and applied research for the development of advanced materials from natural resources. It is one of the leading European research and higher education institutions in the field