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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you excited about developing new mathematical foundations for energy
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that explain why some repeat RNAs are toxic while others are not. Your responsibilities include: Independently conducting experimental work and performing data analysis; Presenting your progress in regular team
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Are you excited about the future of wearable healthcare? Join us to merge microfluidics and contact lens technology, developing smart lenses that enable controlled tear fluid collection and analysis
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electrification and modern power grids. New wide-bandgap semiconductor devices based on silicon carbide (SiC) and gallium nitride (GaN) can switch faster and reduce conversion losses, but their performance is
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, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure
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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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position within the field of mathematical or theoretical biology, computational physics, applied mathematics or computational science. This PhD project is part of the Gravitation programme GreenTE (Green
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team working at the interface of computer science, mathematics, and biology in the Biosystems Data Analysis group at the Swammerdam Institute for Life Sciences at the University of Amsterdam. We welcome
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that generalize across different physical settings. Building on this motivation, the project focuses on the definition, development, and analysis of scientific foundation models: large-scale, generalizable models
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embedded within the Quantitative Healthcare Analysis (qurAI) group and conducted in close collaboration with the CARA Lab and clinical partners in the Netherlands and abroad. You will work with large, multi