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- TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)
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cultivation using Raman spectroscopy. What you will do Literature research Cultivate of the optimal plant varieties for the experiment Detect the plant parts using Raman spectroscopy Extract secondary
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support, optimization of application programs and development of software tools Presentation/publication of results in collaboration meetings, workshops and conferences and the preparation of project
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solution to conventional cell connection methods, such as welding Independently develop creative ideas for new battery module designs Optimize the connection for low contact resistance, vibration loosening
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master´s thesis. The project targets to optimize a methylotrophic microbial producer strain (Methylorubrum extorquens) to produce a small organic acid from methanol by means of Metabolic Engineering
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applications, from coating and repair to additive manufacturing. Consequently, the topics for theses and project work are equally diverse. Currently, we have openings in programming, process optimization, sensor
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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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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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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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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