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Student Assistant (m/f/d) | Data Evaluation Scientific and Technical Assistance Jena Developmental and Evolutionary Biology & Genetics Immunobiology and Infection Biology & Medicine Earth Sciences
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) English (United States) MY PROFILE / LOGIN > More Search Options Loading... Clear Create Jobalert Apply now » City: Kaiserslautern Date: Oct 13, 2026 STUDENT ASSISTANT (all genders) - DATA SPACE
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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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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | Mülheim an der Ruhr, Nordrhein-Westfalen | Germany | about 1 month ago
data protection for applicants can be found on our homepage: https://www.cec.mpg.de/en/career-education/data-protection-information-for-applicants Contact Max Planck Institute for Chemical Energy
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: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere
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analyze high-dimensional data. To support this research, we are looking for a motivated Student Assistant who would like to contribute to cutting-edge work at the intersection of quantum computing
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Helmholtz Association of German Research Centres | Bonn, Nordrhein-Westfalen | Germany | about 2 months ago
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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Multisensory perception processes and consumer behavior Scientific substantiation of claims for cosmetic products Development and application of machine learning and data analysis methods What you contribute
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of computer science, photonics, physics, engineering or a similar study program. You have basic knowledge of working in laboratories, with scientific equipment, and in digital data processing. You are
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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