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Field
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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computing and application of AI-based methods Basic knowledge in photovoltaics and solid-state materials for energy application Ability to work individually and in the team, to effectively collaborate and to
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design are often too slow, costly, and inefficient to cope with the increasing complexity of performance and resource-efficiency requirements. This collaborative doctoral project brings together
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative
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collaboration with a team of experts at FZJ (INM-9: Institute of Neuroscience and Medicine - Computational Biomedicine, IBI-1: Institute of Biological Information Processing - Molecular and Cellular Physiology
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative
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with the opportunity to complete a high-quality dissertation participation in a dynamic research team with supportive colleagues, fostering collaboration and mutual learning l a lively community of PhD
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research together with cutting-edge materials science and physics. Depending on your background you will work collaboratively on the following tasks with either with a stronger model-development or
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multiphase environments such as the ocean surface. The project is part of the Collaborative Research Centre (CRC) “Energy transfers in atmosphere and ocean” funded by the German Research Foundation, and is
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data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning, and artificial intelligence with