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mechanisms, forecasting performance, return period, and multi‑sectoral impacts using high‑resolution meteorological data, satellite imagery, and climate models. It evaluates both natural drivers (El Niño
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combinatorics, probabilistic combinatorics, graph theory, Ramsey theory, or combinatorial number theory. The successful candidates will join a community of researchers in the Combinatorics Group within the School
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at ICLR 2024 10 papers with MLG authors will appear at ICLR 2024 in Vienna, Austria. May 7, 2024 Google Summer of Code and Turing.jl We’re happy to announce that Turing.jl, a probabilistic programming
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data science approaches includes the application of Bayesian inference or probabilistic machine learning to geophysical models. UiO is subject to the Security Act, which governs the organisation's
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regularization strategies and loss functions that leverage entropy principles to improve the stability of SSL training loops. Diffusion Model Integration: Adapt and apply denoising diffusion probabilistic models
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) (PDF) under the protocol established with +ATLANTIC - “Dynamic downscaling of European CAMS air quality forecasts to high resolution over Portugal”, CV 181/2024 of Centre for Environmental and Marine
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populations in the context of nanohertz gravitational-wave observations Applying probabilistic inference to gravitational waves, including through machine learning techniques Analyse and interpret research
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data science approaches includes the application of Bayesian inference or probabilistic machine learning to geophysical models. UiO is subject to the Security Act, which governs the organisation's
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Candidate (DC) to work on Work Package 3. As DC11, your research objectives are to: Harmonise genomic workflows and integrate AI for variant detection and outbreak forecasting Build secure, interoperable and
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and the Probabilistic Machine Learning Lab (https://www.helsinki.fi/en/researchgroups/probabilistic-machine-learning ; groups of Acerbi and Klami) at the Department of Computer Science, aligning with