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18 Sep 2026 Job Information Organisation/Company ARCNL Research Field Engineering » Chemical engineering Engineering » Mechanical engineering Physics » Applied physics Physics » Thermodynamics
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within which they will operate, assessing likely effects and defining mitigation methods. Environments addressed include high-energy radiation from radiation belts; solar particle events and cosmic rays
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Postdoc: Machine learning for wind flow prediction in coastal dunes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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Join TU Delft to uncover the biology of cellular robustness in an industrial yeast process and translate your discoveries into innovative genome engineering strategies. Job description You will join
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mobility every day. Our education and research are directly aligned with what society needs now and in the future. At TU Delft, our people make the difference. With their knowledge and curiosity, our staff
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themselves. In this project, you will investigate whether and how large offshore wind farms influence precipitation. Using high-resolution numerical modeling, you will examine the physical mechanisms through
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“Teaching and Learning in the Age of AI”, focusing on how we, as a university of technology, can respond to the rise of AI in the learning process. What does AI mean for the way we teach and learn? How can
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energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future. At TU Delft, our
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quantum systems. Requirements You have a PhD degree in physics, applied physics, nanoelectronics or comparable discipline at the time of taking on the position. Prior experience in solid-state quantum
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Help municipalities tackle their growing physical-social and socioeconomic challenges in former Dutch New Towns—bridging research, practice and policy to create lasting public impact. Job