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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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of three topics: 1. Combining synthetic aperture radar (SAR) images with probabilistic weather prediction models to view and predict dynamic sea ice properties. 2. Using multi-frequency SAR, coupled with in
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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Norway) in Bergen, Norway. The Norwegian Meteorological Institute (MET Norway) is a leading international forecast and research institution with expertise in operational meteorology, oceanography, and
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of lifestyle, chronic diseases and infectious diseases; methods for high-dimensional data and data integration, especially in molecular medicine; mathematical modelling of cancer; probabilistic modelling and
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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data collection approaches. Familiarity with or strong motivation to learn machine learning or advanced data analytics for pattern detection and forecasting in environmental data. Familiarity with
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with recent developments at the HISP Centre at UiO, which is expanding its long-standing DHIS2 infrastructure to support pre-dictive modeling and disease forecasting in low- and middle-income countries
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infrastructure to support pre-dictive modeling and disease forecasting in low- and middle-income countries. The plan is for the candidate tofocus on Bayesian modelling in close collabora-tion with researchers
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NorSink will lead to a step change in the emerging science of carbon budgets and forecasting, and provide decision makers with the knowledge to design effective climate policies as Norwegian and European