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Field
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focuses on building scalable, accreditation-ready analysis workflows to detect and classify microplastics in complex sample types such as drinking water, plant-based beverages, and biological fluids. As a
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APPFL and OmniFed. Major Duties and Responsibilities: Conduct and publish original research focused on data readiness methodologies and frameworks for scalable AI applications across fluid dynamics
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institute of the Université Paris Cité. Bringing together more than 500 people, the IPGP studies the Earth and the planets from the core to the most superficial fluid envelopes, through observation
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mechanics, fluid mechanics, materials technology, manufacturing engineering, engineering design and thermal energy systems. Technology for people DTU develops technology for people. With our international
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researcher with a strong background in air–sea interactions and experimental fluid mechanics, particularly in optical flow visualization techniques. The successful candidate will conduct advanced laboratory
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
://math.unc.edu). Position Summary This position will join our group working at the intersection of fluid mechanics and soft matter physics. Ongoing lines of investigation include pilot-wave hydrodynamics
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timescales. Within this project we will develop new reconstructions of variations in Earth’s magnetic field and the fluid flow at the top of the core over the past few millennia based on palaeomagnetic data
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: Experience in one more of the following areas: Mathematical methods for kinetic and/or fluid equations Multiscale problems and model reduction Modern machine learning software tools and frameworks
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to develop innovative ideas about ore deposit formation in the Tintina Gold Belt. You will apply the principles of fluid evolution, water-rock interaction, interface coupled dissolution precipitation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
. The postdoctoral scholar will be expected to improve on existing GPU-accelerated ocean models and develop laboratory experiments (in the Joint Fluids Lab at UNC), analyze results, publish in peer-reviewed journals