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for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using
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of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty
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reliability-aware mapping and optimization techniques as well as high-quality, and cost-effective mitigation schemes that can guarantee efficient and reliable memristor-based CIM operation for AI workloads
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kinetics using experimental studies and process modelling and simulation. The team bridges fundamental science with practical, real-world applications, contributing to circular economy innovations. You’ll
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Working at Utrecht University . Selection process As Utrecht University, we want to be a home for everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural
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, are central to this transition, enabling recyclable, lightweight structures. Research now targets energy-efficient, automated processes and machinery to deliver high-quality components for the next generation
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motivated to explore the qubits that power the quantum information processing machines of the future? Do you want to embed qubits in scalable systems and help bring quantum technology to real-world
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modelling and simulation. The team bridges fundamental science with practical, real-world applications, contributing to circular economy innovations. You’ll collaborate with scientists from MPRR, the GGS
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are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words
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19th and early 20th centuries, preferably with a focus on international law, genocide studies and/or transitional justice processes. You possess excellent oral and written communication skills, as