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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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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
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this academic topic by applying data analysis, energy system and/or environmental modelling frameworks to analyze hydrogen systems as part of an interconnected energy-environment system. As a PhD candidate, you
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therapy. The project will involve both physics-based forward modeling of protein structures and reinforcement learning methods for optimizing the structures. The outcome from the models will be tested in
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, the Department of Mathematics, and the Department of Philosophy. To respond effectively to the accelerating decline in biodiversity, BioM will unite ecology, statistics, and philosophy to improve the modelling and
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data with good utility. This project involves development of deep learning based synthetic data generators that obtain both good utility and protection of privacy, through tailored model approximation
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experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova is also a Principal Investigator at the Hylleraas Centre for Quantum Molecular Science