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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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controlling of 6G communication systems. You will leverage state-of-the-art AI/ML techniques such as Reinforcement Learning, Deep Learning, Bayesian Learning and Federated/Split Learning to design 6G telemetry
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engineering, uncertainty quantification, geo-data analytics, machine learning, and optimization. Experience with data-driven and/or deep learning approaches and/or algorithmic decision-making, Interest in
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models is highly desired. Knowledge of Deep Learning algorithms is a prerequisite. Candidates should be excellent in academic writing, should have good communication skills and should be able to cooperate
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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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analytical skills. You take initiative, are eager to learn, have a drive for excellence, and enjoy developing yourself through both academic challenges as well as through direct interaction with experts from
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data; analysing this data critically, using advanced statistical techniques and with deep knowledge of the biological context.; collaborate with relevant stakeholders (in particular Rijkswaterstaat and