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. State-of-the-art algorithms such as the Gaussian process-based Bayesian optimization have shown high potential tuning radioactive ion beam lines and is currently being the focus of attention in facilities
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, Gaussian, etc.), force-field-based simulations software (LAMMPS, DL_MESO, etc), and Monte Carlo methods (self-programming or using software). Experience or strong interest in data-driven modelling and
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cells Key methods will include: Gaussian Processes (heteroscedastic & multivariate) Operator-valued and deep kernels Active Bayesian experimental design Physics-informed neural networks Closed-loop
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, Poor and Verdù in the analysis of finite-length channel coding rates [3], Yang, Schaefer and Poor [4] proved tight bounds on the second-order coding rate for discrete memoryless and Gaussian wiretap
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of alterations in coastal processes in the southern and eastern Baltic Sea to climate change driven modifications of coastal drivers. Oceanologia, 67(1), 67103. https://doi.org/10.5697/LXTZ5389 Holman, R. A
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. Quantifying the impact of microscale uncertainties on macroscale material performance through stochastic homogenization and uncertainty propagation methods, including Monte Carlo and Gaussian Process-based
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, M. N. Schmidt, S. F. Nielsen, K. Banaszek, D. Zibar, “Mode Mismatch Mitigation in Gaussian-Modulated CV-QKD,” in Proceedings of the European Conference on Optical Communication (ECOC), 2025 - https
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, Neuroscience, Physics or a related field. Candidates should have strong skills in machine learning and statistics and experience with Gaussian process regression and/or probabilistic regression. Experience with
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-stage shifts. Marine Ecology Progress Series, 666:135-148 Jarno Vanhatalo, Marcelo Hartmann and Lari Veneranta (2020). Additive multivariate Gaussian processes for joint species distribution modeling with
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
produced by PBF-LB. After identification of the most relevant parameters adopting a design of experiments strategy, a probabilistic (e.g. Gaussian Process Regression) model to describe the relationship