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the best outcome. Precision medicine methods leverage individual-level characteristics to help optimise treatment choices for individuals. This project will leverage recent advances in Bayesian statistical
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uncertainty about those conclusions (uncertainty quantification). Bayesian inference and experimental design methods are increasingly used in scientific practice, and offer appealing theoretical guarantees when
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for Integrated Terrestrial NTN 6G Networks Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The
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Description FlexCAT is an international Marie Skłodowska-Curie Actions (MSCA) Doctoral Network focused on developing innovative strategies to study and target intrinsically disordered regions (IDRs) in proteins
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route to high-rate, fibre-compatible networks (Zajac et al., arXiv:2503.13775). This architecture underpinned Dr Joanna Zajac’s U.S. Department of Energy Early Career Research Award, and this PhD is a
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Job description QuTech, the research center of Delft University of Technology (TU Delft) is hiring for a Doctoral Candidate (PhD) position in partnership with the Questing Doctoral Network
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before the deadline. In many applications such as biological sciences, social science, and engineering, we encounter high-dimensional observations. Bayesian approach can provide a flexible modeling
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Approximation calculations, whose direct use in Bayesian parameter estimation is currently computationally prohibitive. By providing a fast and statistically controlled surrogate for these calculations
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of resilient communications for future 6G networks. The research of this PhD position will be conducted in the IDLab-UAntwerp research group, which is embedded in imec and the University of Antwerp in Belgium
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new approach has emerged that integrates data and mathematical models through neural networks. This has led to the development of a method for solving partial differential equations (PDEs) known as