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Euro / year + benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions
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of research partners. Your tasks will be to design and conduct experiments at various scales from laboratory manipulations of animal plant-soil systems including micro and mesocosms under varying environmental
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interactions with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
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of porphyrins in conjunction with novel linker structures to affect a transformational advance in the molecular design and control of interfacial nanoconstructs with tunable electronic, photonic, biomedical, and
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design, and ontological engineering related technologies in the application domain of material science engineering with participation in scientific publications and other academic activities. Taking on PMD
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approaches is optional but extremely useful. We require good programming skills and experience in C++ and its common programming idioms and design patterns . Knowledge of MATLAB, Python, Julia, or a similar
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• Integrated sensing and communication: fundamental limits and algorithm design (1 PhD, Mari Kobayashi, mari.kobayashi@tum.de) • Optical fiber channel modeling, receiver processing, and coding (1PhD, Gerhard
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Innovation & Entrepreneurship department is amongst the leading of its kind in Europe, with over 50 academics at faculty, post-doctoral and doctoral levels who regularly publish in premier outlets such as the
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Duration The programme is designed for projects with a duration of 1 to 2 years. Scholarship Value The funding comprises a personal, customised full grant. This includes a basic grant (in accordance with
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sensors and apply them to novel applications. Technically, your work will involve the design and construction of optics and electronics, clean room fabrication and software development, as well as theory