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and their interactions with peptides. This primarily includes small angle X-ray and neutron scattering (SAXS/SANS) along with theoretical model analysis including the use of multi-scale and artificial
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9th March 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in Multi-market modelling of power systems with large amounts of wind power Apply
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on robustness, reliability, and trustworthiness. Developing evaluation methodologies that combine quantitative metrics with qualitative expert assessment. Investigating model behavior, failure modes, and
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cell fate specification, many of which exhibit hallmarks of active matter. This PhD project aims to develop theoretical and computational active-matter models of early mouse embryogenesis that couple
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probabilistic behavioral models for verification, performance evaluation, and optimization using model-checking techniques, ultimately bridging static system design and dynamic operational analysis. We offer
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mechanistic process models with machine learning for accuracy, generalization, and interpretability. Uncertainty-aware AI: robust inference under noise, drift, and changing conditions; knowing when a model is
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structural design, and lifecycle performance. A key outcome of FAST is the development of the FAST Virtual Lab, a digital framework combining experimental data, physics-based models, and data-driven methods
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enforcing quantitative validation against helioseismic constraints. The project combines surface-cooling-driven convection, compressible fluid dynamics, and magnetic fields in ultra-high-resolution models
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functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellowship in Volcano Climate Modelling Apply
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are eager to carry out research on statistical issues related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools