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at the Copenhagen campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend no. 3: Data-driven methods for design and operation of human-centric energy-optimized indoor
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of the convergence properties and efficiency (assessed through complexity bounds) of optimization methods for the solution of bilevel problems, with applications to quantitative finance and business decision-making
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Description The target is to explore novel synergies among natural language-based Human-AI interaction, nature-inspired optimization and exploration, the social impacts of Human-AI cooperation on team dynamics
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mathematics to work with Axel Ringh on a project funded by the Swedish Research Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and
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techniques such as NMR, MS, FTIR, GC and HPLC Optimize synthetic routes and troubleshoot any challenges encountered during synthesis Carry out Risk Assessment, and ensure compliance with Work, Safety and
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recreational and elite athletes can achieve optimal performance. Topics to be covered throughout the term will include: anxiety, arousal and stress; psychological skills training, motivation, confidence, focus
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to optimize device performance, as well as support manufacturing and scalability initiatives. Enquiries about the duties of the posts should be sent to Mr. Eric Yip at yiperic@hku.hk . Information about the
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: Optimization of Innovative Air Mobility Networks Operating Supervisor: Prof. Dr.-Ing Hartmut Fricke, Chair of Air Transport Technology and Logistics and co-supervised by at least one additional
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modernization. Key Responsibilities Lead design and delivery of enterprise-grade data pipelines (ETL/ELT) using SQL/Python, supporting high-volume, high-complexity healthcare data. Build and optimize a modern
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, devoted to the study of the singular structures of measures arising in Geometric Analysis, Optimal Transport, and Geometric Measure Theory. The aim is to develop new tools to describe the fine geometric