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Vacancies PhD position on Mathematical Statistics or Machine Learning Theory Key takeaways Current statistical methodology still reflects the use-context of its first development in the 1920s
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Vacancies PhD position on Mathematical Statistics and Machine Learning Theory Key takeaways Current statistical methodology still reflects the use-context of its first development in the 1920s
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communications: RF engineering/software-defined radios Signal processing and radar Mathematical modeling and optimization Machine learning General Requirements: Proven track-record demonstrated by high quality
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following domains in the context of wireless communications: RF engineering/software-defined radios Signal processing and radar Mathematical modeling and optimization Physical layer security General
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following domains in the context of wireless communications: RF engineering/software-defined radios Signal processing and radar Mathematical modeling and optimization Physical layer security General
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challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences
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master program) in the field of (Energy) Economics and/or Applied Mathematics, Systems and Control, or relevant fields; affinity with energy transition-related issues, particularly energy systems
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challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences
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. Complete and defend a PhD thesis within the official appointment duration of four years. What do you have to offer? An MSc degree in Artificial Intelligence, (Applied) Mathematics/Physics, Computer Science
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, mathematical and numerical modeling of soft matter mechanics, additive manufacturing, and experimental device testing are required. As the successful candidate for this position, you will direct the research