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for the agricultural transition. However, numerous farmers in the Netherlands and abroad demonstrate that successful regenerative business cases are possible. Their models often rely on strongly reduced input costs
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polytopal numerical methods The conception of discrete complexes (de Rham and extended complexes) The application to various models of MHD and flows in porous media The numerical analysis of the schemes
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-temperature field theories, numerical modeling, and hadronic phenomenology. McGill’s Department of Physics has research groups active in most areas of modern physics. Applications, including a complete CV (with
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Description Open one or two year Postdocs positions on Surrogate Models for Uncertainty Quantification (UQ), at the Centro de Investigación en Matemáticas (CIMAT-SECIHTI, México). We are a UQ research group
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research group on Biogeodynamics modelling in Bremen, Germany. The planned duration (subject to release of funds) of the position is until December 31st , 2028 starting on the January 1st , 2026. Postdoc (gn
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the strategy to be applied for training a learning model to predict wind and precipitation conditions based on a dataset combining numerical weather prediction models and in situ observations; Collect
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on the modeling of tumor growth. Tumor growth is a complex phenomenon, influenced by numerous biological, metabolic and environmental factors. Morphological magnetic resonance imaging (MRI) is widely used to detect
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or more of the following: Centrifuge experimental testing (design, execution, and data interpretation) Numerical modeling and simulation to complement physical experiments Preferred) Proficiency in CAD
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for the agricultural transition. However, numerous farmers in the Netherlands and abroad demonstrate that successful regenerative business cases are possible. Their models often rely on strongly reduced input costs
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of numerical quantum many-body methods to study model Hamiltonians. Strong background in linear algebra. Preferred Qualifications: Experience with density matrix renormalization group and tensor network