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the foundations of computer science. Subject Description The research subject focuses on an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling
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experience in experimental particle physics and data analysis Prior experience with machine learning tools Prior experience in developing algorithms such as particle identification, specific final state event
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the mathematical foundations of these fields, e.g., designing innovative algorithms and control strategies, as well as the development of technical solutions to adapt these new methods to applications in the areas
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Prior experience with machine learning tools Prior experience in developing algorithms such as particle identification, specific final state event selection, or object reconstruction Interest in student
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embodied cognitive agents can learn to solve complex problems and adapt in dynamic real-world environments. This research direction demands developing novel techniques and algorithms that can enable
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communication systems for 5G and 6G, channel modelling, channel characterization, radio-based positioning and sensing, and associated signal processing algorithms. Work duties Employment as an assistant professor
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between these duties varies over time. During the employments three initial years, the employee is offered 30% of full time for competence development, which may be used for own research and other
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-based positioning and sensing, and associated signal processing algorithms. Work duties Employment as an assistant professor is a tenure track position, which aims for the holder to develop