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” research projects. One of the goals of the “VIB2SE” project is to investigate the mechanical vibrations of electrical machines under the influence of power electronics using one of our test rigs. You will
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sensing. Of particular interest are modelling and numerical simulation methods at the electromagnetic-field level that enable the computer-aided design of critical components in complex, integrated quantum
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responsibility within the scope of “SIS100 Quench Detection” and “SIS100 Electrical Systems”. Conception of advanced test methods for electrical integrity at superconducting modules as well as future magnet
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(A levels and the current transcript of Bachelor and/or Master courses and grades), and any recommendation letters via our application portal (reference number 2026-DS-2): https://www.atb-potsdam.de/en
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levels and the current transcript of Bachelor and/or Master courses and grades), and any recommendation letters via our application portal (reference number 2026-DS-3): https://www.atb-potsdam.de/en/career
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compiling information on a current topic in the field of machine learning. Researching and implementing novel machine learning and computer vision approaches. Self-critical evaluation of the obtained results
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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Max Planck Institute for the Study of Crime, Security and Law | Freiburg Elbe, Niedersachsen | Germany | 2 days ago
. Together, we aim to push the boundaries of current crime research and build new approaches to crime prediction. Where to apply Website https://recruitingapp-5535.de.umantis.com/Vacancies/508/Description/2
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of doing an internship beforehand. What you contribute You are studying mechanical engineering or another engineering master’s degree program with a focus on electrical machines. Do you already have some
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adapters should be created and tested for previously selected detection methods, which can reliably bypass these detection methods. Be part of change Researching and implementing novel machine learning