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on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class
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, integrating advanced materials and innovative water treatment process design to safely manage and minimize these concentrate streams. Your work will contribute directly to the UN Sustainable Development Goals 6
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will be Dr. Julian Kooij . The project is co-funded and co-supervised by the Audio Innovation Center of NXP Semiconductors in Leuven (NASDAQ: NXPI). For your work you will have access to the compute
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communication. Join us and apply for one of the two available PhD positions below! Quantum Network Systems The goal of this position is to optimize the design of our quantum network operating system
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specimens to collect in-vitro data for model validation. Design and conduct motion capture experiments in diverse settings: laboratory environments, athletic fields, and clinical contexts. Collaborate within
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computational fluid dynamic simulations can currently resolve spatial and temporal scales of industrially-relevant turbulent flows within days/weeks. On the other hand, typical design cycles in industry still
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modelling and planetary science. Each PhD project has a distinct focus but is designed for strong scientific interaction: PhD 1 | Deposition and evolution of ultrathin ice layers You will experimentally
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techniques that identify when a model is operating in such high-risk regions and uses this information to design new, privacy-preserving learning and explanation methods. Instead of producing generic
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
Positive tipping points in the innovation and diffusion of clean energy technologies can greatly accelerate progress towards a net-zero energy system. Yet, their emergence and timing remain difficult
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diagnosis methodologies that meet these challenges head-on. You will dive into areas such as: AMS fault modeling. AMS test stimuli and detection generation. Automatic AMS test pattern generation and