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100%, Zurich, fixed-term We are seeking a highly motivated and skilled Postdoctoral Fellow in Microneedle Engineering for Wearable Healthcare Devices to join our dynamic and interdisciplinary
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A knowledge of fluid dynamics is recommended. Personal characteristics Working as a Postdoctoral fellow requires that you The successful applicant is a highly competent, motivated and ambitious
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The TUM School of Computation, Information and Technology at the Technical University of Munich (TUM) welcomes applications for a PhD or Postdoc Position (m/f/d, 100%, 2 years+) in Numerical Mathematics
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, Faculty of Science and Technology . The position is connected to the Sea Ice Physics Division of the Alfred Wegener Institute (AWI) and the NOAA Geophysical Fluid Dynamics Laboratory (GFDL). General
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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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Equations, Mathematical Physics, Fluid Dynamics, Mathematical Biology, Mathematical Epidemiology are encouraged to apply. Responsibilities for these positions include mathematical research, undergraduate and
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positions, and positions for distinguished professorship. Candidates in areas including, but not limited to, Computational Mathematics, Numerical Analysis, Computational Fluid Dynamics, Oceanic and
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chemistry. Extensive experience in membrane development, testing and polymer synthesis, functionalization, modification, are mandatory. Knowledge or mastering computational fluid dynamics software and
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Pohang University of Science and Technology (POSTECH) | Republic, Kansas | United States | 2 months ago
-kinetic systems, quantum-kinetic systems, and mathematical biology from the perspectives of mathematical analysis and machine learning. All researchers working on fluid dynamics, kinetic theory, dispersive
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the National Center for Atmospheric Research (NCAR) and the National Oceanic, Atmospheric Administration's Geophysical Fluid Dynamics Laboratory (NOAA GFDL), and will foster new collaborations around ML/AI with