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Field
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structural dynamics, hydrodynamics, or marine systems Experience with programming or numerical tools (MATLAB, Python) A willingness to work across disciplinary boundaries Motivation to tackle open-ended, real
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PhD in Computational Simulations of Turbulent Reaction Flows for Clean Energy and Sustainable Propul
transition enhancing sustainable energy technologies that involve renewable carbon-free fuels, efficient energy conversion, and pollutant emissions reduction. The group focuses on numerical simulations
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be the head of the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models
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the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models, and hardware platforms
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contribute to AID by developing trustworthy AI-supported methods for long-term hydropower scheduling. Hydropower plays a central role in the Nordic power system, and deciding when to use or store water is
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of numerical methods Basic programming skills, e.g., Python, Mathematica or similar languages Fluent spoken and written English Proficiency of the German language is a plus. We offer: a unique opportunity to
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experimental methods are available and currently fully operational in the laboratory. Collaborative Environment: Centrifugal instabilities are not limited to magnetized plasma columns in the laboratory but also
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: www.uu.se/earthsciences Project Description: Per- and polyfluoroalkyl substances (PFAS) are highly persistent synthetic chemicals contaminating soil and groundwater at numerous sites in Sweden and globally
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development remains limited by the difficulty in obtaining crystals with high structural quality, specifically with a stacking fault density below 500/cm². The Travelling Solvent Method (TSM), which uses a
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mathematics, numerical oriented geosciences, or related field with strong quantitative focus; Strong background in machine learning methods such as neural networks and transformers; Knowledge on handling large