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. Modeling dynamical systems Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods
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operational activities, ensuring your work delivers tangible environmental impact. Key responsibilities will include: Research: Lead and contribute to spatiotemporal modelling, mapping, and remote sensing
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. Proficiency in using PyTorch and other machine learning libraries for developing and implementing machine learning models is essential. Ability to prepare comprehensive written reports, including the use
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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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effectively to the accelerating decline in biodiversity, BioM will unite ecology, statistics, and philosophy to improve the modelling and governance of biodiversity under uncertainty. The project develops
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systems (such as RedCAP), Endnote files, and databases Demonstrated experience with data analysis, visualization, and building machine learning models in programming language such as Python or/and R
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characterization - Experience with data modeling and programming (MATLAB required) - Expertise in semiconductor manufacturing processes and device failure analysis - Experience working in cleanrooms - Ability
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Direct Modeling software. § Five years of experience in maintaining helium recovery systems and in the operation and maintenance of helium liquefiers. § Five years of experience in handling cryogens
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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