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, analyzing data, and interpreting results. Collaborate with the team to explain the root causes of model miscalibration, optimize diagnostic processes for monitoring for Cyber-Physical System diagnostics
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PhD position on Calibration in Deep Learning for Zero Downtime in Cyber-Physical Systems PhD position on Calibration in Deep Learning for Zero Downtime in Cyber-Physical Systems Published Deadline
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Vacancies PhD position on Calibration in Deep Learning for Zero Downtime in Cyber-Physical Systems Key takeaways The vacancy is focused on calibration in deep learning . Deep Neural Networks (DNNs
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Do you want to unravel the physics of water and ion transport in micro-electronics? Do you want to lay the foundation for early warning methods and sensors in chips and electronic circuits? Irène
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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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on international collaboration between scientific and industrial partners? This is your opportunity! We are looking for an enthusiastic and ambitious PhD-candidate who will examine the role of physical activity in
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Organisation Job description Full job title: 2 PhD positions in theoretical quantum chemistry/physics at University of Groningen and University of Twente We invite applications for two PhD positions
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PhD positions in theoretical quantum chemistry/physics (2.0 FTE) (V24.0043) « Back to the overview Job description Full job title: 2 PhD positions in theoretical quantum chemistry/physics
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8 Feb 2024 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 30