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ways in which such physical learning is realized, and design new types of learning machines capable of solving complex engineering problems on their own. Some examples include neuromorphic computers
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. The need for such a technology comes from the the extreme miniaturisation of micro-electronics, which places extreme demands not just on nanofabrication, but also on inspection methods that visualize
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to contribute to new technologies that realize radical improvements in the energy efficiency of information and communication technology? As part of the Dutch consortium NL-ECO on energy-efficient computing
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follow individual cells as they grow, move, and differentiate to form branched duct architectures in mammary gland organoids. Using advanced 3D imaging, genetic engineering, and AI-driven cell tracking
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candidates with a strong background in chemistry, physics, materials science, or engineering with an interest in self-assembly phenomena. Excellent candidates with training in any area of science or
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Did you know high-energy electrons can serve as efficient sources of optical excitation of matter? Our group has developed cathodoluminescence (CL) microscopy, in which we use 1-30 keV electrons in a scanning electron microscope (SEM) to excite nanomaterials. The oscillating electric field...