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this project, you will explore inverse data-driven and physics-based approaches and integrate multi-modal and multi-fidelity biomechanics tissue testing data to advance insights into the ex vivo and in vivo
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available validated DEM simulation models and enriched by operational equipment performance data. To this end, physics informed machine learning techniques will be used to bring model data and real data
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to expand your (social) network. This position is a temporary assignment for 24 months. Selection process A pre-employment screening can be part of the selection procedure. Additional comments For more
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promising solutions. This project aims to enhance SDB accuracy through deep learning pan-sharpening and physics-informed machine learning techniques. These methods will be tested in two regions worldwide and
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13 Feb 2024 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application
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13 Feb 2024 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application
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2 May 2024 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application
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, implementation & fabrication of infrared capable pixels using advanced silicon post-processing technology. Your key responsibilities include: Supporting the image sensor team with mask design, device physics
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3 May 2024 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application
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, at the Department of Imaging Physics. The group works on scattered light microscopy to visualize complex fiber networks. Your task will be to analyze measured scattering signals from different biological tissues