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18 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Electrical engineering Engineering » Mechanical engineering Physics » Applied
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, Robotics, Electrical Engineering, or a closely related field. A strong academic record and solid background in machine learning and deep learning. Ability to develop, understand, and critically evaluate
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. Demonstrated research experience in climate, oceanography, the cryosphere, or atmospheric science. Interest in the intersection of solid/fluid mechanics. Experience working with the Julia programming language is
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degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or a closely related field. A strong academic record and solid background in machine learning and deep learning
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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
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You will develop the theory that connects quantum experiments with mechanical systems to questions in fundamental physics, establishing what such experiments can and cannot reveal about nature. Job
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are looking for a PhD student passionate about understanding molecular mechanisms in biological systems. This position involves applying single-molecule techniques to study molecular interactions, including
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engineering Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Application Deadline 15 Sep 2026 - 21:59 (UTC) Country Netherlands Type of Contract Permanent Job Status Not
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17 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Civil engineering Engineering » Mechanical engineering Researcher Profile
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compaction. Once representative icy surfaces are produced, their mechanical properties as well as characteristics (porosity, grain sizes, morphology) will be measured (in collaboration with ESTEC, drawing