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dynamic, interdisciplinary, and internationally leading research team and is supervised by experienced scientists, engineers and technicians. The dissertation is embedded in current research projects
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tools and concepts. Supervise student projects and BSc/MSc theses. Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field. Strong
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of software tools and concepts. Supervise student projects and BSc/MSc theses. Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field
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Data Science, Mechanical Engineering, Mathematics, Physics, Electrical and Information Engineering, ora related field very good programming skills in Python interest in topics of artificial intelligence
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Bewerbungsende: 29.09.2025 VOICES is a multidisciplinary project in history, computer science, and engineering that studies testimonies of Holocaust survivors. For this, it uses computational
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Design Technology in Berlin has stood for excellence in production science. We are dedicated to bridging the gap between science and practice in the field of industrial production and offer application
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mechanical engineering, electrical engineering, physics, materials science or a comparable field Experience in material processing and analytics Basic experience with CAD and/or programming software Ability
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Fraunhofer AISEC. The TUM CIT unites the disciplines of Mathematics, Informatics, and Electrical and Computer Engineering. The research and teaching activities range from theoretical knowledge to its
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data analysis and development of evaluation methods (e.g., in Python) Support in conducting experiments in the laboratory What you bring to the table Current studies in engineering, materials science
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key electrical parameters such as impedance, capacitance, and quality factors. What you bring to the table Academic Background: You hold a Bachelor's degree in Engineering, Material Science, Chemistry