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manufacturing machines and advanced mechatronic systems, rely on ultra-reliable, low-latency, and deterministic communication between distributed sensors, controllers, and actuators. Ensuring such performance
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these techniques, X-ray fluorescence (XRF) imaging provides detailed information on the distribution of chemical elements across paint layers, giving unique access to pigments, mixtures, and underlying compositions
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unpredictable, standard foundation models often output overconfident, flawed embeddings when faced with unprecedented climate anomalies. To solve this, you will also develop rigorous Out-of-Distribution (OOD
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the money! REconstructing Belief systems behind Urban Intensification and Land-rent Distribution (REBUILD)”, funded by the Swiss National Science Foundation. Focusing on case studies in the Netherlands and
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now As a successful candidate, you will be part of the international research project “Follow the money! REconstructing Belief systems behind Urban Intensification and Land-rent Distribution (REBUILD
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, which options become visible, and how agency is distributed between humans and algorithmic systems. In this PhD project, you will study AI-supported decision-making from a representational perspective
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there are many opportunities to interact. The research of the Nikhef theory group include higher-order calculations and jet physics in perturbative Quantum Chromodynamics, parton distribution functions
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scenario; Develop a novel self-calibrating, heterogeneous distributed platform capable of providing the necessary sensing, transport, compute and data aggregation capabilities on demand. Consider how partial
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of tomographic imaging techniques to capture oil/water distributions in a 3D geometry. In the second half, we will use these techniques to study the flow and stability of an emulsion through a constriction
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
networks. Your assignment You will develop innovative methods to detect and predict failure risks in drinking water distribution and transport networks. You will combine operational hydraulic data, asset