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one of the largest technology-oriented research environments in Europe. Full Professor (W2) in Mathematical Optimization at the Faculty of Mathematics and Natural Sciences We are inviting applications
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priorities of the Department of Mathematics and Computer Science by establishing a dedicated research group on optimization and will actively participate in research networks and initiatives within
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postdoc) as part of a project titled "Energy Storage as an Enabler of Sustainability through Optimization, Machine Learning, and High-Performance Computing," supported by the Dieter Schwarz Foundation
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to the local capacity of the respective distribution network. The approach involves employing new methods that combine model-based mathematical optimization with machine learning. Realistic simulation of battery
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-economic analysis, life-cycle assessment, mathematical optimization, process-oriented modeling of industrial energy systems, and the analysis of regulatory frameworks. In particular, we focus on chemical
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Foundation, and the state of Hessen. Further collaboration opportunities at the Department of Mathematics of TU Darmstadt include: • Yann Disser (combinatorial optimization), • Kord Eickmeyer (structural graph
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outstanding record in applied mathematics with an emphasis on optimization. A research orientation combining theory and algorithms for optimization with partial differential equations with mathematically
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Research in the fields of channel coding, Internet of Things (IoT), and low latency communication Development of new transmission schemes, protocols and cross-layer optimizations and support contributions
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control methods for utilizing storage and load flexibility at industrial sites in a cost- and emission-optimized manner. This work will involve employing new methods that combine model-based mathematical
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this area, in particular, within the mathematical aspects of one or several of the following sub-areas: theory of deep learning, optimization in machine learning and data science, signal and image processing