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emulators of similar datasets (e.g. Gaussian Process methods by the project lead). These results will inform the IPCC AR7, and adaptation and mitigation policymaking by other global stakeholders. You will be
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observational data, and compare the results with those from other emulators of similar datasets (e.g. Gaussian Process methods by the project lead). These results will inform the IPCC AR7, and adaptation and
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emulators of similar datasets (e.g. Gaussian Process methods by the project lead). These results will inform the IPCC AR7, and adaptation and mitigation policymaking by other global stakeholders. You will be
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charge‑transport properties. • Familiarity with codes such as Gaussian, VASP, CRYSTAL, Quantum ESPRESSO, or equivalent. • Ability to collaborate in an interdisciplinary environment and to communicate
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these projections with observational data, and compare the results with those from other emulators of similar datasets (e.g. Gaussian Process methods by the project lead). These results will inform the IPCC AR7, and
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the area of data privacy for dependent data and change-points in Gaussian processes. You publish internationally and give lectures. You apply for projects and raise third-party funds. You hold courses
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acquisition, optical design and Gaussian beam propagation. Desirable: 4. Experience · Demonstrable ability to develop research proposals and designs in collaboration with other academics
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statistical analysis and modeling techniques such as Gaussian process modeling, data assimilation, and Bayesian analysis; and 4. Open-source scientific software development. Expertise in computational
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, including GKP state generation and nonlinear gates. EPIQUE (Horizon Europe): Cluster state generation on photonic integrated chips and its integration into a measurement-based Gaussian Boson Sampling machine
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developing adaptive numerical schemes powered by advanced nonlinear approximations—like Gaussian mixtures and neural networks. The key challenge? Designing robust and stable numerical schemes that remain