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to the Jorf Lasfar Supply Chain Mohammed VI Polytechnic University (https://www.um6p.ma/en ) is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned
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technical team. You will work on the design, assembly, and optimization of experimental setups and inspection systems (femtosecond laser illumination, PMT detection), considering nonlinear optics and
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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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: 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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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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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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, please view https://www.ntu.edu.sg/newri . We are looking for a Research Associate to conduct research on membrane and separation technology for desalination, resource recovery, and decarbonization. Key
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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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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant