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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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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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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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models of early mouse embryogenesis that couple collective cell mechanics with gene regulation. The goal is to identify the physical and mechanochemical principles underlying symmetry breaking and self
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for biosystematics (e.g., HTS data handling and analysis) and ecoinformatics (e.g., distribution modelling using R) • Field work in the tropics • Experience in chromosome cytology and/or morphometrics
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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 governance
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-driven convection, compressible fluid dynamics, and magnetic fields in ultra-high-resolution models to test whether the discrepancy is primarily a consequence of insufficient realism in earlier modelling
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the Section for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and
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research modeling future electricity systems in Norway and Europe. The successful candidate will work on the recently funded Research Council of Norway project NORBAT (“Batteries as flexibility providers
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electrical characterization of quantum emitters Defect modeling and identification The PhD research fellow will be affiliated with the Solid-State Physics and Quantum Technology research group at UiO with