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Field
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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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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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projects; this can entail working alongside domain experts to extract relevant knowledge, and programming using suitable models to infuse that knowledge with ML methods, thus aiming to optimize performance
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knowledge of the German language besides English. If interested, please send your full application to the email adress provided below. At the Mechanics & High Performance Computing Group, there is an open
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | about 2 months ago
positions for Doctoral Candidates (DCs). We aim to create a network of early-stage researchers equipped with knowledge and skills - including entrepreneurship –to develop and support implementation strategies
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optimizing orbit configurations and potential constellation designs to maximize scientific return related to atmospheric variability. Particular emphasis will be placed on understanding variations in neutral
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criteria and constraints, whether scientific, technological, economic, or social. Research is organized around three teams: • CID: Knowledge, Uncertainty, Data • SCOP: Reliability, Communication
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Institut National des Sciences Appliquées de Lyon | Villeurbanne, Rhone Alpes | France | 15 days ago
with the physical principles of structural dynamics and (vibro-)acoustics and the related numerical modeling techniques, such as the Finite Element Method (FEM), as well as numerical optimization
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optimization. In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences
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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical