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) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with
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institutes—ranging from mathematics, computer science, astronomy, physics, chemistry, and biopharmaceutical sciences to biology and environmental sciences—together with the Lorentz Center and the Hortus
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, or space systems, combined with an interest in communication networks. Applied Physics or Physics, particularly if you enjoy applying fundamental concepts to real-world engineering challenges. Computer
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of Mechanics of Materials (MoM) (www.tue.nl/mechmat) at the department of Mechanical Engineering of Eindhoven University of Technology (TU/e) launched a PhD excellence programme for sustainable materials in 2026
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. To address this challenge, the project aims to develop structural health monitoring technologies based on a digital twin. The digital twin will combine information from the physical structure with models and
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on https://www.heliabiomonitoring.com/publications . The research group integrates laboratory-based and computational approaches for advancing sensor technology and bioengineering. Research is done in close
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23 Sep 2026 Job Information Organisation/Company Wageningen University & Research Research Field Chemistry » Homogeneous catalysis Chemistry » Inorganic chemistry Researcher Profile First Stage
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to computational methods for imaging. You have: a Master's degree in mathematics, applied mathematics, computational science, mathematical physics, or a closely related field; a strong background in one or more of
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and profile: an MSc degree in the Natural Sciences (e.g. Earth Science, Biology, Ecology, Physics) or Engineering; experience with modelling, quantitative data analysis and programming; strong
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well as a wise use of machine learning methods. The candidate should hold an MSc degree in Applied Physics, Electrical Engineering, or the equivalent. The PhD position is firmly embedded in a physics