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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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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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research groups (50 PhD students and postdocs) that share a state-of-the-art cleanroom for nanofabrication and characterization and many other facilities. Qualifications You have a degree in physics or
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into the process of star formation in interstellar clouds, in particular the effect of feedback from young stars on their birth environment. Funding is now available for a PhD candidate to analyze the GUSTO data
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Vacancies PhD Position: Advancing Computational Mechanics through Machine Learning Key takeaways Machine learning is revolutionizing computational mechanics, enhancing the solution of complex
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individuals from their body and environment. However, often these disorders emerge gradually from (interactions between) psychological, physical, and environmental processes. In the proposed project we want
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. Complete and defend a PhD thesis within the official appointment duration of four years. What do you have to offer? An MSc degree in Artificial Intelligence, (Applied) Mathematics/Physics, Computer Science
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Vacancies PhD position on “Exploring transport limitations in alkaline electrolysis” Key takeaways Within the Soft Matter, Fluidics, and Interfaces (SFI) group and closely working with the Physics
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desire to obtain a PhD degree from a top European university. A successful candidate must hold a MSc or equivalent degree in Physics, Astronomy or a related field, by the starting date of the position
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Are you passionate about renewable energy and eager to combat climate change? Apply for a PhD position in Floating Offshore Wind Energy and help pioneer the future of sustainable energy production