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building models Your Profile: Master studies in the field of of mechanical engineering, industrial engineering, process engineering, informatics and mathematics or similar Good knowledge of a programming
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of the Modelica building models Your Profile: Master studies in the field of of mechanical engineering, industrial engineering, process engineering, informatics and mathematics or similar Good knowledge of a
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and efficiency Your Profile: Very good academic record and currently enrolled in a Master’s program in engineering (energy technology, mechanical engineering, industrial engineering) or a related field
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research data management activities, semantic and infrastructural engineering in the field of Material Science, e.g. within NFDI-MatWerk Dissemination of developed tools and concepts within interest groups
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Internship / Master Thesis – Quantum Optimal Control Algorithms for Electrochemical NMR Applications
the theoretical and computational infrastructure to employ quantum optimal control methods, where simulated spin models are directly used to engineer NMR experiments. At the core of this project stands the Python
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natural sciences or engineering and preferably a PhD and furthermore ideally already have good knowledge of science management and committee work You have already acquired basic knowledge and work
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finding solutions for the realization of the clean energy transition. Your Profile: Above-average university degree (Master) in engineering (energy technology, process engineering, mechanical engineering
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Your Job: However, one of the main hurdles related to AEMWE technology is to develop low-cost and robust catalysts that can withstand the harsh reaction environment without compromising
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and the latest technology Qualified support through your scientific colleagues A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing
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Excellent technical equipment and the newest technology Qualified support through your scientific colleagues The chance to independently prepare and work on your tasks A large research campus with green