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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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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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Process Development and Intensification. With the world’s population predicted to surpass nine billion by 2050, substantial challenges emerge regarding food production and security. Traditional practices
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group, a multidisciplinary team at the University of Twente, where physics, chemistry and biology converge. We are dedicated to understanding intrinsically disordered proteins (IDPs) and their roles in
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hours per week €2770—€3539 per month Delft View on Google Maps Delft University of Technology (TU Delft) Requirements We are looking for a candidate with a strong background in physics or in a physics
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environmental exposures to unhealthy food outlets and lack of options to be physically active, which form barriers to adhering to a healthy lifestyle. Regional studies suggest that obesogenic environments
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physical healthcare spaces, how can architecture help mediate and enhance the ethical dimensions of care, particularly concerning patient autonomy and consent in an increasingly monitored environment
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. Select studies will also be performed on Siemens Prisma 3T scanners of national collaboration partners. The position is in the Department of Imaging Physics (www.imphys.tudelft.nl ) of the Faculty
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freedom to pursue your research interests, be it in responsible AI, cybersecurity, privacy-by-design, etc. for mobile networks, and in that process we will not only consider functional requirements (like
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challenges, to change the world and make an impact. Ready to bring your energy to our research? Challenge, change, impact! Apply for this job Apply for this job This application process is managed by