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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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Challenge: Generating realistic bathymetric maps at a large scale using satellite images and advanced machine learning methods. Change: Incorporating physics into satellite-derived bathymetry
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performance, we will pioneer novel physics-informed machine learning algorithms to formulate an optical link performance map. This groundbreaking project comprises two PhD positions and one postdoc position
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Are you a highly motivated student with a strong interest in statistical mechanics and soft active matter? The group of Dr. Sara Jabbari Farouji at the Institute of Theoretical Physics and part of
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5 Apr 2024 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 31 May
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campus in Holland, and at a university that has been chosen as the “Best University ” in the Netherlands for the 19th consecutive time. Selection process For more information about this position, please
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24 Apr 2024 Job Information Organisation/Company Amsterdam UMC Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 18 May 2024 - 21:59 (UTC
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3 Apr 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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insights promise substantial improvement opportunities. You will find effective methods to process noisy, not always fully reliable sensor data, that may not always be available, including RF sensing, in
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promise substantial improvement opportunities. You will find effective methods to process noisy, not always fully reliable sensor data, that may not always be available, including RF sensing, in order to