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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
with numerical modeling (e.g., LES, DNS, or CFD) and/or laboratory experiments in stratified or rotating fluids. Ability to work both independently and collaboratively as part of an interdisciplinary
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are recruiting an exceptional post-doctoral researcher to lead technical development in our pioneering project creating the first computational framework for simultaneously modeling Icelandic speech and sign
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. This unique position combines advanced finite element modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an
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planned to last 2 years, with the option to extend. In the Burger lab, we are interested in early vertebrate development of the axial and lateral plate mesoderm using zebrafish and mice as models, as
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, analytical modelling, and numerical simulations to develop and validate novel reinforcement systems. This position is part of an Innosuisse-funded collaborative project with industry partners, focusing
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with data-based models and numerical dynamo simulations. The successful candidate will contribute to studies of time-averaged geomagnetic field morphologies and core dynamics during transitional events
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modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an innovative startup partner. You will be
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understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working with data-based models and numerical dynamo simulations
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an appropriate autogenous mill for pilot testing. Lead the design and execution of lab-scale autogenous grinding trials based on experimental design. Contribute to the numerical modeling of beneficiation circuits
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engineering, computer science applied to urban infrastructure, data science, or a related field. Expertise in numerical modeling and simulation for urban systems. Proficiency in digital twin tools and platforms