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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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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
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yet differently phrased requests. All these points have the same underlying question that needs to be answered for the AI tools to become useful: How do we validate the generated code? The main focus
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grades/transcripts (bachelor and master) contact information of 2 references if already available: your master thesis Please note: You can apply online. We will not process applications sent by email and
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Our main goal is to unlock ultrasound imaging inside organs that are still inaccessible to existing clinical ultrasound scanners, in particular bones and the adult human brain. Our ambition is to