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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
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grade. You embrace a PhD project on the design, fabrication, and characterization of innovative superconducting circuits for microwave photon detection in the context of a quantum illumination experiment
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designed flow cell is coupled to inductively coupled plasma mass spectrometry and the stability against dissolution will be assessed. This will be done with collaboration partners around the
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is to enable safe and agile behavior of the autonomous vehicle. You will be responsible for the conception, implementation and evaluation of the new algorithms. In addition to your technical work, you
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vehicle actions in complex multi-vehicle environments. You will be responsible for the conception, implementation and evaluation of the new algorithms. In addition to your technical work, you will take
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skills in Python and PyTorch including fundamental software engineering principles and machine learning design patterns. Be highly motivated and a team player with excellent communication and presentation
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principles and machine learning design patterns. Be highly motivated and a team player with excellent communication and presentation skills, including experience in communicating across discipline boundaries
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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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available in the further tabs (e.g. “Application requirements”). Programme Description Higher education graduates of outstanding academic merit who plan to complete a doctoral programme or carry out
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regional excellence with the aim to trigger synergies. The PhD scholarships by Munich Aerospace are designed to allow junior scientists to fully focus on their research work and obtain their degrees in a