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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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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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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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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
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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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for developing reliable predictive models and ensuring safe and robust component design. This position is part of the CastAl project, which aims to identify the mechanisms governing stochastic fracture in HPDC
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to unlock the mysteries connecting TGFs, FGFs, glows, and lightning discharges through modeling and analysis of data from the groundbreaking ALOFT flight campaign. Our group's recent publications revealed