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PhD Position Physics Informed Machine Learning for Metamodeling Equipment Performance on Industrial Scale PhD Position Physics Informed Machine Learning for Metamodeling Equipment Performance
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28 Mar 2024 Job Information Organisation/Company University of Twente (UT) Research Field Physics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 30 Apr 2024
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Vacancies PhD student on Process Development of Green Steel Production Key takeaways The iron and steel industry are confronted with pressing challenges. Historically, the industry has heavily
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Are you passionate about the development of new materials for quantum applications and intrigued by integrating chemistry and physics approaches? Are you a driven student seeking to engage in
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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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, 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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. To overcome this and enhance the security, in addition to quantum key generation, classical key generation using physical layer security can take place. The classical key generation can be added – on top of
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the intersection of physics, information theory, and computing. We are currently seeking a highly skilled and motivated Research Scientist to join our dynamic team and contribute to a cutting-edge project that
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Kick off your career in the process industry (chemicals, energy, food, pharma) in Delft. As an Engineering Doctorate (EngD) trainee in Process and Equipment Design at the world-class institute TU