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Field
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of publication-relevant application programmes (Adobe Creative Cloud, especially Indesign) Confident handling of scientific publication infrastructures (e.g. specialised databases) and publication standards (e.g
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in Master's program in engineering, plant engineering, biomedical engineering, chemistry, or bioengineering Strong Interest in experimental and technical questions Good to very good academic
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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be a member of the Faculty of Physics and Astronomy and the Faculty of Mathematics and Computer Science. The appointee is expected to play an important role in further enhancing the research
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of courses. It is integrated into the faculty’s teaching program with two semester hours per week and includes the supervision of examinations and theses. Requirements: You must have a research profile in the
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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! We
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are researching the fundamentals of generating short-wave radiation and its potential applications. What you will do Your tasks will be based on your degree program and personal interests You will support us in the
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of performance and accuracy. What you bring to the table What is your background? Are you currently enrolled in a master's degree program studying Electrical Engineering, Control Engineering, Mathematics, or a
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engineering, computer science or a comparable subject You have good experience in Python You have basic knowledge of the theory and methods in machine learning Good language skills in German and/or English What
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, as well you know how to work with a computer You work as a team player to solve problems analytically and work out solutions You are willing to learn something new every day and are willing to participate