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Field
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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 offers the possibility
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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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of complex systems and networks with a focus on strongly externally driven systems; application to fields in physics, engineering and biology, developing a computational toolbox for predicting distributed
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the generation of statistically distributed microporosity for specific components What you bring to the table You are a student of industrial engineering, mechanical engineering or a comparable engineering degree
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
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/d) in Energy Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research
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, a unique opportunity opens up for you: Explore the potential of machine learning and computer vision to revolutionize autonomous flight systems. In close collaboration with leading industry partners
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engaged in developing the physical foundations for a future fusion power plant. The institute is affiliated with the European Fusion Programme. The Max-Planck-Institute for Plasma Physics in Greifswald
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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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universities, the Helmholtz Association and Fraunhofer Society. Teaching language English Languages English (100%) Mode of study Hybrid Programme duration 8 semesters Beginning Winter semester Additional