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Engineers usually want predictability. This project embraces chaos! – Excited about control theory? Then join us to build the math of chaotic sampling for greener and more secure control systems
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material technologies. As a PhD candidate, you will join the Materialising Futures section within the Faculty of Industrial Design Engineering at TU Delft. Your project will build upon internationally
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to code, or are willing to learn. You are a team player who enjoys working with others, shares knowledge openly, and brings a constructive mindset. You feel rewarded when an idea lands ona. new metrology
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better world and our values are creative, critical, constructive and respectful . We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals. We
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and collaboration. Conduct ethnographic research on how employees make sense of and negotiate AI use in workplace interactions, including norms of disclosure and transparency, and how these processes
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safe biohazardous waste disposal — as well as direct experimental assistance in mammalian and bacterial cell culture, virology and microbiology workflows, and core molecular biology techniques such as
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AI-driven quantitative analysis and predictive modelling of biomaterials, tissues, and regenerative constructs. The project combines advanced 2D and 3D bioimaging, including micro/nanoCT, confocal
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, chemical engineering, chemistry, and materials science or equivalent. Your degree must include a major independent project (minimum 30 ECTS) equivalent to a master’s thesis Master students can apply, but
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and characterization of thin films. It focuses on controlling and understanding the structure and properties of the coatings at the atomic and nanometer scales. Materials science is inherently
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systems have recently emerged for quantum technologies: single fluorescent defects in silicon. These single color centers are not only incorporated in silicon, the ideal platform for large-scale