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Field
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning
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range of machines and equipment. 💪 Involvement: Independent project work and room for innovative ideas in applied research. 🧘 Work-life balance: Benefit from flexible working hours based on trust
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-parameter and load-pull measurements of various device geometries and epitactical variations technological computer-aided design (TCAD) to analyze breakdown mechanisms benchmark the RF device performance by
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scientific work processes Desirable: - good communication skills - knowledge of the Geographies of Global Inequalities degree program or willingness to acquire them - English language skills (C1
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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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digitalization team of the departments »High performance materials « and »Modular production machines «, we deal with the development of the control software of production machines and data-driven optimization
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basic knowledge of the theory of machining Experience in CAD/CAM software like Rhino or Siemens NX is a big plus Good language skills in German and/or English What we offer Professional supervision and
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opportunity to apply the theoretical knowledge you have acquired during your studies in a practical setting. You will learn about our structures and processes in the scientific and technical business areas and
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manual dexterity What we offer 👥 Team spirit: Creative, interdisciplinary environment with a motivated team, flat hierarchies, and an informal culture. 🖥 Workplace: Excellent range of machines and
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comprehensive basic knowledge of cultural studies and the ability to teach this in English. - Support in managing the course via digital platforms (Blackboard or Moodle); - Support in course preparation: research