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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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communication service availability. Due to the current limitations in understanding and estimating channel performance, we will pioneer novel physics-informed machine learning algorithms to formulate an optical
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. Here, we focus on zero-defect manufacturing processes for resilient and adaptable data-driven additive manufacturing. We will work with CEAD who have developed an additive manufacturing process combined
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28 Mar 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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28 Mar 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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regulation and development on the one, and macroscopic stimuli (light, touch) on the other hand. We use tools from statistical physics, information theory and non-linear dynamics to understand the how well a
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Mathematics, Physics or another relevant subject. Good modelling and Python programming skills. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able
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Requirements An MSc degree in physics, engineering or mathematics, ideally with connection to optics. Strong mathematics and physics background. Good programming skills, experience with MATLAB, Python, and/or C