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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 Kramer
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grasslands. What we expect from you • University degree (M.Sc.) and Ph.D. in Agricultural Science, Biology, Ecology, Environmental Science or a related field. • Thorough understanding of the processes
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or friendships between users in a social network. Due to the large variety in data science tasks performed with graph-structured data, different specialized systems have been developed, such as graph processing
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
• robotics and/or mechatronics • computer languages C, C++ and Python and interest to work in an interdisciplinary environment are desired. German language skills are necessary for this position. Our offer: We
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Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art
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. Requirements: Completed university degree in computer science or applied mathematics, remote sensing, geophysics, physics, or related areas Expertise in computer vision and/or machine learning (deep learning
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-driven short stack test rig for the experimental investigation of the influence of pressure on r-SOC degradation processes. You are welcome to use the freedom of the project to set your own priorities
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scholarship income are mutually exclusive. Application Papers Application forms and further information on the application procedure are available here . Application Deadline Applications are accepted all year
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Application Papers Application forms and further information on the application procedure are available here . Application Deadline Applications are welcome at any time, but must be submitted at the latest 6
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: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification, building model checkers