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to develop a new generation of traffic prediction methods, combining traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where
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physics. By combining experimentally grounded models of realistic quantum systems with abstract theoretical frameworks from quantum information and the foundations of quantum physics, you will establish
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Are you interested in the societal implications of personalized healthcare, data-driven decision making, and donor protection? We are looking for a motivated PhD candidate to join DONOR-PROTECT
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this project, you will develop innovative image analysis methods to improve image quality and enable advanced quantitative analyses of ^89Zr-immunoPET data, including radiomics and artificial intelligence
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will study how children select into contexts and how different contexts affect educational outcomes and inequality, using Dutch register data, quasi-experimental designs, and simulation methods. Your job
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essence, good in-line measurement systems provide immediate process information and therefore enable high quality products while preventing waste from production errors. Thus they contribute to healthcare
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PhD positions on integrated quantum photonics at QuTech Job description Are you motivated to discover the qubits that build the quantum information processing machines of the future? Do you want
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distributes and routes entangled photons in the presence of classical telecom traffic in multi-node quantum networks. Information Efficient distribution and routing of entanglement are indispensable for quantum
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trace element distributions at high spatial resolution. The resulting data will be integrated into thermodynamic models (e.g. FACTSage-based approaches) to support process optimisation and control in
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We are looking for a PhD student to help us develop practical cryptography for the post-quantum era. This (fully funded) PhD studentship focuses on provable security. Information You will develop