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- Delft University of Technology (TU Delft); Published yesterday
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7 Mar 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Informatics Computer science » Programming Engineering » Materials
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feed into this vision. The intended start date is July–August 2026. Job requirements PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a
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3 Mar 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Communication sciences » Journalism Communication sciences » Media studies Researcher Profile Recognised
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they learn, PRL134, 147402 (2025). Qualifications We seek candidates with: A PhD in physics, applied mathematics, materials science, mechanical engineering, computer science, or a related field. Strong
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conferences. support the teaching activities at the faculty (up to 10% of the time). What we ask of you A PhD in Machine Learning, Computer Science, Mathematics, Statistics, Physics or a closely related field
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the ability to organize, coordinate, and lead field activities together with local partners. A PhD in oceanography, atmospheric science, physical geography, environmental physics, or a closely related
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technologies. What you bring We are looking for a candidate who meets the following criteria: A completed PhD (or approved manuscript) in law, socio-legal studies, disability studies, health law, Science and
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this project, THz imaging science and technology for measuring micrometer- and nanometer-scale properties of semiconductors and 2D materials and 2D heterostructures. The group houses state-of-the-art lab
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precision already after just a few minutes, which is useful for many applications. We want to achieve this by creating clocks that can operate truly continuously, using technology that we have developed
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chemometrics with an interest in applied research geared towards long-term societal impact. Requirements: Completed PhD in chemistry, physics, material sciences or a related field Strong foundational knowledge