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electronic solutions for future AI-driven optical interconnects. Design, implement and characterize the most promising topology for driver and TIA in advanced semiconductor technology
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information processing in event-driven sensing. Information Photonics is widely regarded as the key enabling technology of the 21st century and its application and use in many scientific and industrial fields
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geoscience, energy systems, materials modelling, fluid dynamics, and other scientific and engineering domains where data-driven models must interact with physical knowledge. Such problems raise fundamental
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for entry into a PhD program. A background in machine learning, inverse problems, scientific computing, or related data-driven methods is highly desirable. You are curious about combining physical modeling
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-resolved simulations. In case a fluidized bed is chosen, a traditional Eulerian Two-Fluid model (TFM) will be compared with a novel Lagrangian Continuous Particle Model (CPM). Initially, engineering
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29 Aug 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Programming Engineering » Civil engineering Engineering » Water resources engineering
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Are you interested in AI applications in flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood
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plant phenotyping, microbiome profiling, predictive modelling and targeted experimental validation to identify the microbial factors that make plants more resilient to disease. Your job You will join the
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Mechanical engineering, Chemical engineering, Applied physics, or related field is required. Knowledge and proven experience with performing measurements and engineering reactor modeling and/or CFD. A critical
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A PhD position is available in the Advanced Production Engineering (APE) research group at the Engineering and Technology institute Groningen (ENTEG), Faculty of Science and Engineering. In