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limited, noisy, and low-resolution measurement data? In this project, you will develop a novel physics-informed machine learning approach that integrates physical simulations of the measurement process with
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, sustainability objectives and future uncertainties into a unified decision-making framework. The candidate will develop probabilistic modelling and stress-testing approaches, including Monte Carlo simulations and
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-based metrics. Your work will be validated through simulations, phantom experiments, and first-in-human volunteer studies in close collaboration with clinical partners. You will work in a highly
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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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the subproject; Curriculum vitae, including publications (if applicable); Copy of MA thesis. Applications should be submitted no later than 26 October via the blue button in our application system. Please quote
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different scenarios; implement and validate simulation models for system analysis, scenario evaluation, and future optimization; collaborateclosely with researchers, industrial partners, and fellow PhD
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, wideband sensors, or high-frequency measurement techniques. Hands-on interest in designing, building and debugging new wideband current sensors. Experience with electromagnetic or circuit simulation, PCB
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28 Aug 2026 Job Information Organisation/Company Centrum Wiskunde en Informatica (CWI) Research Field Engineering » Biomedical engineering Engineering » Simulation engineering Mathematics » Applied
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simulation studies and real data applications disseminate your research findings through publications in academic journals and presentations in international conferences participate in relevant seminars and
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technology, microscopy instrumentation, and imaging physics, you will design, simulate, fabricate, and experimentally validate a novel MEMS-based transmission electron projection column integrated inside