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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
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correction and/or mitigation. Knowledge about networking protocols and distributed algorithms. Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid
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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our group, you get the opportunity to use the latest algorithms in machine learning for improving
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algorithms and real-world applications. The job The student will be part of the administration team and will support the daily operations of the program. You will work closely with the administrative
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international journals. Contribute to the design, analysis, and validation of new techniques and algorithms for estimation and inference, including theoretical work, simulations, and empirical applications