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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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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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) (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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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
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with the Ganna Lab (https://www.dsgelab.org/ ) at FIMM and the Probabilistic Machine Learning Lab (https://www.helsinki.fi/en/researchgroups/probabilistic-machine-learning ; groups of Acerbi and Klami
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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
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questions in cancer biology. Learn more about Dr. Bild’s lab here. As a successful candidate you will: Build probabilistic models of tumor dynamics from serial ctDNA and tissue samples. Develop deep learning
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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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practice composition and performance; and first response services in rural communities, using a range of methodologies including realist evaluations, systematic reviews, scheduling and data forecasting