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, COMPASS-31 measures, etc. The project may include descriptive analysis, multivariable modeling, and integration of findings across epidemiologic datasets to improve understanding of infection-associated
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modeling techniques to identify patterns, trends, and emerging public health concerns. Design and evaluation of interactive data visualizations and dashboards to communicate scientific findings. Best
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the Norwegian educational system Must have documented solid mathematical foundations on optimization (e.g., optimization modelling and numerical optimization), game theory, AI/ML (A focus on explainable AI e.g
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Planetary Protection primary role is to develop mathematical frameworks to be used for modelling the probability to 1) transfer harmful contamination to solar system bodies for robotic or crewed missions
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3 Jul 2026 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Computer science Mathematics Researcher Profile Leading Researcher (R4) Application Deadline 31 Jul 2026 - 00:00
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
Selection Criteria: PD&PEWER_Academic B_Research Fellow.pdf About the opportunity This position is a fixed term for a period of up to 12 months to play a major role in building a model of hydrogen
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System Model, vesion 3 (NorESM3), and a central satellite dataset for EEI is from the Clouds and the Earth’s Radiant Energy System (CERES). The specific tasks intended for the PhD fellow are to (i) Analyze
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
opportunity This position is a fixed term appointment for a period of one year (up to 12 months) to contribute to research in artificial intelligence, with a particular focus on large language models and their
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) laboratory is a multidisciplinary research group focused on understanding how organs regenerate and how this knowledge can be harnessed to develop future therapies. Using the liver as a model system, the lab
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satellite imagery are fused with land-surface models using data assimilation. The goal is to develop an adaptive experimental design frame-work for the observing system to guide ongoing measurement campaigns