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. The research area includes interactions between large oceanic currents, eddies, fronts, and the coast, as well as analyzing their effects on the distribution of heat, nutrients, marine life and the sea floor
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distribution analysis with collaborators at the University of Ljubljana in Slovenia. Data analysis and manuscript preparation. Presenting results at international conferences. Training Master’s and Bachelor's
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IMWS. This opens up new perspectives in electron energy loss spectroscopy (XEELS), enabling - among other things - the determination of pair distribution functions (based on EXELFS) with nanometer
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Master-Thesis: Machine Learning-based Heating Curves for Heat Producers in District Heating Networks
address the challenges posed by global warming. In this context, district heating networks (DHNs) play a major role since they can realize fully decarbonized heat supply utilizing various distributed heat
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of handover solutions The consideration of quantum key distribution (in addition to classical optical communication links) Your PhD will be co-supervised by the project partners Technical University of Berlin
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. Therefore, we employ a broad range of artificial intelligence algorithms that enrich process data with sophisticated domain knowledge and semi-supervised approaches to incorporate unlabeled data. We
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-free design for distributed MIMO systems Integrated sensing and communication (ISAC) Non-terrestrial networks (NTN) Support of IoT devices across generations including IIoT and A-IoT The scientific work
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-free design for distributed MIMO systems Integrated sensing and communication (ISAC) Ubiquitos coverage integrating terrestrial networks (TN) and non-terrestrial networks (NTN) Support of IoT devices
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Infrastructures Didactics of Informatics Digital Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information
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computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience