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, strong mentorship and tailored training. With minimal hierarchical barriers and access to state-of-the-art facilities, labs and equipment , you’ll be supported to grow professionally and contribute to both
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tools and methods. A 350-strong research team and over 2,000 students work together in our inspiring hall, labs and studios. In close cooperation with industry, the public sector and NGOs we rehearse
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are looking for a motivated PhD candidate to join the Physical Intelligence Lab at TU Delft and contribute to advancing model-based control of soft robots. The position is funded by the ERC Starting Grant
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the application areas of mobility, sustainability and health, as well as its development of design tools and methods. A 350-strong research team and over 2,000 students work together in our inspiring hall, labs and
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impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine
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fair consideration. Challenge. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our
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environment, you’ll benefit from cross-section learning, strong mentorship and tailored training. With minimal hierarchical barriers and access to state-of-the-art facilities, labs and equipment , you’ll be
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. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea
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. The ideal candidate will have a strong background in circuit design and experience with the IC design tapeout flow. Information The NanoComputing Research Lab in Integrated Circuits (IC) group within
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Predoctoral researcher at the Targeted Therapeutics & Nanodevices Research Group (Project BRAINZYME)
physiological conditions. • Examine their performance in 2D and 3D systems, including chemical and genetic disease models, multi-cultures and organ-on-a-chip devices. • Investigate the biodistribution as