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teams. The research programs are integrated from long-term research to short-term applications in linkage with incubation and start-up ecosystems. About the Chemical & Biochemical Sciences Green Process
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the application of computational fluid dynamics and Gaussian dispersion models (e.g., R-LINE, MOVES, AERMOD) to simulate pollutant behaviour, apportion source contributions, and evaluate mitigation
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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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Viklund and will involve the study of one or more of the following areas: Coulomb gases and related areas, 2D random conformal geometry (SLE theory, lattice models, gaussian fields, etc), conformal field
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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
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research project at IDLab-MEDIA (https://media.idlab.ugent.be/ ), UGent – imec, aimed at advancing the state of the art in motion capture, sensor fusion, immersive media, and 3D computer vision. Within
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quantum computing, 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
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strategy, a probabilistic (e.g. Gaussian Process Regression) model to describe the relationship between process parameters and material properties will be developed and subsequently exposed to Bayesian