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to realize a strong permanent magnet. To investigate this, you will use and further develop numerical methods in our state-of-the-art open source micromagnetic model, MagTense. At present, our ability to model
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strong permanent magnet. To investigate this, you will use and further develop numerical methods in our state-of-the-art open source micromagnetic model, MagTense. At present, our ability to model
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Job Description If you are passionate about data analytics, numerical modelling and marine research, we have an opportunity for you! DTU Aqua invites applications for a two-year postdoctoral
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will explore reaction evolution mechanisms for magnesium-based binders, leveraging state-of-the-art experimentation and numerical modelling tools. This position is part of the prestigious Villum Synergy
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to research and development projects with a focus on modeling and interpreting contaminant transport in the subsurface. Your focus will be on developing, testing and applying numerical models to investigate and
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, or a related field with a focus on groundwater or hydrological modelling Documented experience in numerical or data-driven groundwater modelling (e.g., MODFLOW) Proficiency in handling geospatial and
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, fluid mechanics, solid mechanics, materials science including phase changes, numerical mathematics and data analytics based on statistics and/or machine learning. Each of the postdoc positions will be
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the Danish National Genome Center. With numerous active collaborations with top-tier laboratories worldwide, MOMA provides a highly dynamic and interdisciplinary research environment at the forefront
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, geophysics, mathematical modelling, or related fields. The ideal candidate should have: Experience with numerical climate models (such as EC-Earth or similar GCMs). Advanced programming skills in Python
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, geophysics, mathematical modelling, or related fields. The ideal candidate should have: Experience with numerical climate models (such as EC-Earth or similar GCMs). Advanced programming skills in Python