69 maynooth-university-programmable-city-project PhD positions at Technical University of Munich
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07.05.2022, Wissenschaftliches Personal The research group "Biomolecular Quantum sensing" at the Technical University of Munich and member of the Munich Center for Quantum Science and Technology
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world is continuously sensed and/or explicitly shared to provide a model of 6G network environment and its users – encouraging design of algorithms, protocols, and systems that “intelligently” fuse data
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deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. We are seeking a researcher to join our team in an ERC project on DNA data storage
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of university-style fundamental research directly linked to practically relevant major projects and pioneering satellite missions. Depending on the applicant’s profile and qualifications, the salary
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universities Opportunity to travel to prestigious international research conferences Contribution to open-source projects and collaborations with start-ups and spin-offs Up-to-date hardware and extensive server
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of the leading European universities Opportunity to travel to prestigious international research conferences Contribution to open-source projects and collaborations with start-ups and spin-offs Up-to-date hardware
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accumulating organic compounds in the early earth ocean. We are looking for a PhD student (m/f/d) to start at the TUM this July or later. Your Task Hydrothermal vents where hot minerals stream into the ocean
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projects is a plus Solid command of the English language both in written and spoken form (German language is a plus) What we offer We offer the possibility to join a successful research group with
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body organs. We are looking for a PhD student (m/f/d) to start at the TUM between now and March 2023. Your Task From animals’ circulatory system to random porous media in fuel cells, morphological
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the 01.10.2022. Your Responsibilities: You will work at the cutting edge of privacy-preserving deep learning research with a focus on one or more of the following topics: - Optimal model design for differentially