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comparative and historical perspective combining data-driven computational approaches with informed institutional analyses of capitalism, insurance finance, housing and welfare states while drawing on theories
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On-going master studies in Data Science, Database Systems and Information Management, Computer Science, Physics or Applied Mathematics Knowledge of signal processing, Data analysis and Data handling Interest
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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
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. The research associate (doctoral student) is expected to work and conduct research in the area of entrepreneurship and family enterprise while participating in the doctoral program. The position (m/f/x) is
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research of mobile and optical communication networks and systems, as well as in machine learning, computer vision, and the compression of digital video. Become a part of our team and join us on our journey
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of the components What you contribute You are studying physics, mechanical engineering, computational engineering science, computer science, or a related field, and have performed well in your studies so far You work
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, PowerPoint) You have good or very good knowledge of computer-aided data analysis with R, Stata or Python and are interested in expanding your knowledge You have experience in working with survey or even panel
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administrations of Helmholtz Munich and TUM, external partners, and funding institutions worldwide. Plan, organize, and participate in scientific meetings and workshops in Munich and abroad. Review and edit
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examination regulations. What you bring to the table Enrolled student specialising in chemistry, materials science, production engineering or a comparable degree programme Extensive practical experience with
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of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures, support lab courses, and supervise