38 software-defined-network PhD positions at Technical University of Munich in Germany
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enthusiastic PhD researchers. Tasks and project As part of a research project, you will be part of a dedicated group developing software for autonomous vehicles. Your research project focuses on enabling
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enthusiastic PhD researchers. Tasks and project: As part of a research project, you will be part of a dedicated group developing software for autonomous vehicles. Your research project will focus on quantifying
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, metal physics, or a similar degree Experience in software engineering (incl. high-throughput computing) Knowledge in the field of materials engineering of metals and materials modelling (i.e. CALPHAD
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to approach work in an analytical, imaginative, and structured way and to work independently on research projects • Good team player and inclination towards acting in networks • Very good communication skills
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experimental research • Ability to approach work in an analytical, imaginative and structured way, and to work independently in research projects • Good team player and inclination towards acting in networks
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embedded into the quantum technology network formed by WMI, the Excellence Cluster MCQST (www.mcqst.de), the TU München (www.tum.de), the EU Quantum Flagship project QMiCS (qmics.wmi.badw.de), and several
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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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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