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researchers with different cultural backgrounds. You will be coaching and mentoring master students. Fostering a synergetic, open-minded, and win-together culture, we regularly interact and share views
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Sciences With more than 1,000 employees, including 135 pioneering principal investigators, as well as a population of about 3,400 passionate students, the Faculty of Applied Sciences is an inspiring
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, which includes bandit problems and theoretical reinforcement learning. The primary objective of this project is to analyze and design learning algorithms and provide formal guarantees regarding
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project. Once you have mastered the theory, you will build models, describing the natural phenomenon with mathematical precision. Beside deriving theory and collecting data of real-world epidemic spread
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The main goal of the research is to quantify the impact of hydrate formation on injectivity of CO2 injection well and to develop chemical-based solutions to either inhibit the formation of hydrates
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resulting from overload, (under/over)voltage, and angle variations. The principal constraining factor on network capacity is the thermal limit of the conductor and therefore, there has been widespread testing
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explore, holding a Master's degree (MSc) in Statistics, Applied Mathematics, or a related field. You're passionate about using statistical, probabilistic, and mathematical principles to solve real-world
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of structural sizes based on scattering measurements with different wavelengths. Your main focus will be the development of software and analysis tools, but you will closely work together with the experimental
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English will be possible. Communication will be in English. The project is for a duration of 4 years. The starting date has to be on or before 15 September 2024. Your profile: Completed Master's degree
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interests and skills as relevant for this position (see qualifications). Full list of grades/transcripts (bachelor and master). Contact information of 2 references. Please note that incomplete applications