36 machine-learning "https:" "https:" "https:" "https:" "The Open University" Postdoctoral positions at Delft University of Technology (TU Delft)
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fair consideration. Challenge. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our
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(PHM) for aerospace operations and maintenance, with strong expertise in sensor fusion, stochastic modeling, and machine learning. Your role: Design, build, and commission a laboratory test bench for
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science or a related subject. Good command of the English language in both speaking and writing. Speaking Dutch or willingness to learn is a pre. Experience and knowledge of (fibre) optics is a pre
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construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
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24 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Computer hardware Computer science » Digital systems Engineering
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to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty
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unsolicited services Where to apply Website https://www.academictransfer.com/en/jobs/357108/postdoc-in-atmosphere-ocean-fee… Requirements Additional Information Website for additional job details https
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https://www.academictransfer.com/en/jobs/357000/postdoc-on-the-impact-dynamics-… Requirements Additional Information Website for additional job details https://www.academictransfer.com/357000/ Work
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global scale. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being
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. You will join the Computational Multiphysics in Offshore Engineering (CMOE) group (https://tudelftcmoe.super.site/ ), a dynamic research team dedicated to developing state-of-the-art numerical methods