19 applied-physic-"https:"-"https:"-"https:"-"https:" Undergraduate research jobs in Germany
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) English (United States) MY PROFILE / LOGIN > More Search Options Loading... Clear Create Jobalert Apply now » City: Stuttgart Date: Oct 21, 2026 Student Assistant for applied Machine Learning in
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | Mülheim an der Ruhr, Nordrhein-Westfalen | Germany | about 1 month ago
applied sciences is required Completed bachelor's degree, preferably with a completed course on electrochemistry (familiarity with related fields such as heterogeneous catalysis, surface science, etc
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methods or data processing is desirable Very good command of German and/or English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate
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group E 13 TV-L Closing date 16 Oct 2026 View more categories View less categories Discipline Applied Science Job Type Researcher Employment - Hours Full time Duration Fixed term Qualification Masters
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Systems) , an agent-based World–Earth model developed with the copan:LPJmL modelling framework (https://copanlpjml.pik-potsdam.de) to investigate the co-evolution of human land management decision
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themselves, for us and for the markets of today and tomorrow. A passion for solutions with light – that's the Fraunhofer Institute for Applied Optics and Precision Engineering IOF! Based in Jena, a city
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research on quantum computing-based data processing and develops machine learning methods in support of quantum technologies. The team is part of flaQship , the Fraunhofer Lab for applied quantum computing
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Engineering and Automation IPA, the team operates flaQship , the Fraunhofer Lab for applied quantum computing Stuttgart-Heilbronn. In this context, the team coordinates the » Kompetenzzentrum
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quantum computing-based data processing and develops machine learning methods in support of quantum technologies. The team is part of flaQship , the Fraunhofer Lab for applied quantum computing
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on quantum computing-based data processing and develops machine learning methods in support of quantum technologies. The team is part of flaQship , the Fraunhofer Lab for applied quantum computing