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Field
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engineering or communication technologies with an interest in communication systems, or similar fields of study Experience in programming MATLAB and optimally previous practical lab experience Knowledge
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generation routing and power distribution network generation for efficient timing closure and sign-off, including signal integrity Optimize design for power, performance, and area (PPA) Contribute to defining
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technologies using beamforming, as well as operation in higher frequency ranges. Further topics of relevance can include Wider bandwidth with operation in the 6GHz band or above Optimized MU-MIMO technology and
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coding and compression Optimization of neural networks for energy efficiency and hardware adaptation Explainable Artificial Intelligence (XAI): Fundamental research and method development in areas of Local
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for optimizing existing Mg-RE alloys and will lay the groundwork for the development of digital twins and new RE-free Mg alloy systems. Your profile #a master?s degree in Materials Science, Mechanical Engineering
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English and German Our Offer: We work on highly topical, socially-relevant issues and offer you the opportunity to actively shape change! We offer you optimal conditions for the successful completion
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topics in semiconductor technology and power electronics. The mission of the »Modeling and Artificial Intelligence« department is to optimize processes, components and systems, including their reliability
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fields lie in the following areas (Divisions and Departments - Fraunhofer ITWM ): »Optimization« »Flow an Material Simulation« »Mathematics for Vehicle Engineering« »System Analysis, Prognosis and Control
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control and optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, the potential
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Master-Thesis: Machine Learning-based Heating Curves for Heat Producers in District Heating Networks
. Compared to the SoA operation utilizing static heating curves, optimization-based predictive operating strategies (OBPOSs) promise better performance. However, a very limited degree of digitalization in many