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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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. The position is hosted at the Chair for Algorithms and Complexity, headed by Prof. Susanne Albers (http://wwwalbers.in.tum.de/index.html.en). The dissertation work will involve research in the fields
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Research, Computer Science, Business Engineering, Informatics, Mathematics, Physics, or equivalent. The degree requirements need to be fulfilled at the start of your appointment. For degrees awarded outside
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research activities, evidence of teaching interest and abilities, and three letters of recommendation. For full consideration, apply not later than May 31, 2020 apply to Prof. Dr. Natalie Germann
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Masters, or Honours, degree in Bioscience Engineering, Biology, Ecology, Forestry or equivalent degree in Life or Mathematical Sciences with background in Ecology. Also candidates that will obtain
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extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute of the German Aerospace Center (DLR). For this international, exciting
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Engineering, Biology, Ecology, Forestry or equivalent degree in Life or Mathematical Sciences with background in Ecology. Also, candidates that will obtain their degree in the summer of 2025 are invited
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networks and their demonstration as proof-of-concept implementation in an experimental 6G testbed. Your qualifications MSc in Computer Science or Electrical Engineering Strong background in networking and
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of the research is to obtain a doctoral degree Job profile Master's degree in (bio)medical sciences, biomedical engineering or related discipline Experience and/or strong interest in preclinical research