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an opportunity to contribute to a collaborative international research environment. GIANTS is a five-year theoretical and numerical modelling project focused on the late stage of terrestrial planet formation
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of habitable conditions on orbiting planets. This project places the modelling of cool star high-energy environments at its core, developing a generalised framework for characterising time-resolved stellar
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, i.e., model-based studies of complex, dynamic systems. The group hosts two core educational programs, M.Phil. and PhD in System Dynamics, which are among the leading programs in the field worldwide. In
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models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available
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is subject to internal financing. About the project/work tasks: The System Dynamics Group provides education and conducts research in System Dynamics, i.e., model-based studies of complex, dynamic
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based on Machine Learning (ML) emulators have taken the weather predictions research by storm, as they run faster and use less energy than traditional approaches: numerical models based on physical
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the Translational Research Accelerator (TRA) theme that will contribute to model development and establishment, to address clinical questions raised within the three projects. The PhD project will be within TRA, and
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2
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are only recently recognised as potential threats, and Arctic-relevant ecotoxicological data remain extremely scarce. Current regulatory risk assessments rely on temperate model species and single-compound
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models or second-order meta-analytic models). For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294982/postdoctoral-fellows-in-educational-measurement Where to apply