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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 responsibility
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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 will take responsibility
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07.05.2022, Academic staff The research group "Biomolecular Quantum sensing" at the Technical University of Munich and member of the Munich Center for Quantum Science and Technology (MCQST) is
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-adapted on-chip vascular networks to optimally perfuse 3D tissue constructs. Requirements As a suitable candidate, you have an outstanding Master's degree or comparable degree in biological or soft matter
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08.09.2021, Academic staff The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%, 3
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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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13.04.2021, Academic staff The chair of Software Engineering for Business Information Systems (sebis) at the Technical University of Munich is looking for an excellent candidate for a paid PhD
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will lead the way to applications of flow-adapted on-chip vascular networks to optimally perfuse 3D tissue constructs. Requirements As a suitable candidate, you have an outstanding Master's degree
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Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering principles and machine
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including fundamental software engineering principles and machine learning design patterns. Be highly motivated and a team player with excellent communication and presentation skills, including experience in