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spread over the study area and fail to represent a substantial part of the target population. Such “opportunistic” data pose significant challenges for making valid inferences about population-level
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the title of PhD Research Scholar. The Department of Business and Management Science is responsible for a specialisation in the NHH PhD programme. The specialisation has two tracks: Business Economics
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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Experience with using inference/machine learning tools and basic programming is a plus As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe
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Experience with using inference/machine learning tools and basic programming is a plus As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
of surface-atmosphere interactions and limitations in current observational methods . Traditional remote sensing techniques are generally indirect, inferring evaporation from thermal imagery and reflectance
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emission from marine and terrestrial sources, through its chemical transformation in the atmosphere, and finally to its deposition as wet or aerosol particles. You will also use statistical inference methods
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comprehensive databases combining nationwide Norwegian health and socioeconomic registry data, biobanks and patient-reported data. Using advanced epidemiological methods, causal inference and machine learning
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patterns and immunological outcomes. However, current interactome analyses have so far been limited to inferred interactions based on cellular receptor-ligand expression patterns. New technological advances
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epidemiological methods, causal inference and machine learning techniques, we aim to: Improve understanding of risk factors for primary headaches Predict diagnosis and disease progression Identify the most