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29 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Biological sciences » Biology Physics » Biophysics Physics » Statistical physics Researcher
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focus of this project is the holistic experience of urban mobility in the daily lives of individuals with physical and cognitive diversities. The point of departure is "people"—their routines and travel
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on the cutting edge of chemical technology, applied physics and biomedical technology. Our fields of application include sustainable energy, process technology and materials science, nanotechnology and technical
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Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and
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: Within this international project, TU Delft will develop a machine learning-based forward operator to enable the assimilation of SAR imagery into the crop growth model. You will: Process SAR imagery over
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(there is room for learning-on-the-job). A PhD in aerospace/mechanical engineering or applied physics. Demonstrated ability to conduct research in experimental fluid mechanics. Proven competence on flow
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that influence human interaction and learning. While multimodal systems are already being developed to monitor physical and cognitive engagement, current approaches offer limited interpretability and often do not
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strong role in packaging the genomic RNA; yet, how this packaging process works and how the N-protein manages to selectively pack genomic RNA is not well-understood. We will study this selective packaging
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route to produce high-quality recyclates, but current implementations rely on static process design and control that don’t account for feedstock variability, inefficient solvent use, and high energy