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suitable wireless link at any moment. In this PhD project, you will develop novel concepts for intelligent hybrid RF–OWC networks that optimize wireless service delivery in real time. Research topics include
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-centric AI and explainable decision-making? Are you intrigued by the role of human expertise in complex optimization? This PhD position focuses on bringing humans into the loop of optimization processes
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
current and future aircraft models + Evaluating how these differences affect fleet assignment and network planning + Optimizing airline operations (e.g., fleet composition, scheduling, routing) based on new
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 13 days ago
in chemical molecules. The Department of “Inorganic Spectroscopy” is currently seeking a candidate for a Ph.D. student or Postdoc position (f/m/d) in advanced operando spectroscopy of heterogeneous
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
: Model development: + Characterizing the key performance differences between current and future aircraft models + Evaluating how these differences affect fleet assignment and network planning + Optimizing
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applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization of Power-to-X processes for renewable fuel production. The project is primarily
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Aalborg University, Department of Energy, Campus Esbjerg, invites applications for a three-year PhD Stipend from October 1st or soon hereafter in dynamic modelling, simulation and optimization
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approaches. Collecting and integrating non-radiological (clinical) data for comprehensive analysis. Optimizing imaging protocols and scanner workflow. Contributing to ethics applications and study preparation
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Are you interested in optimization and data science? Are you motivated to contribute to answering one of the key challenges facing agricultural systems today: how can agricultural supply chains
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. In addition, the MCAV approach can be optimized by leveraging information from all individual cavities, rather than relying solely on their vector sum, thereby enabling the development of a MIMO