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Field
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist to develop hybrid models for sea ice that combine coupled climate models and machine
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satisfactory performance. Degree/Field of Study: PhD in fluid dynamics, geomechanics, computational geomechanics by start date with Penn State. Applications must be submitted electronically and include a CV
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numerical fluid mechanics, scientific computing, or model-order reduction, who is willing to engage in innovative and interdisciplinary research questions. The successful candidate will also have the
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental
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with at least 3 years of research experience in a field related to numerical fluid mechanics, scientific computing, or model-order reduction, who is willing to engage in innovative and interdisciplinary
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, including finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
. We work at the intersection of glaciology, fluid dynamics and applied mathematics, and collaborate extensively with colleagues around the globe. Your Tasks Analyze and interpret in-situ geophysical
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the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Level and duration: PhD. Salary depends on experience
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, environmental fluid mechanics, or a related discipline. The qualified candidate will work with Dr. Daniel Dauhajre in the Computational Ocean Dynamics and Ecosystems group and have the opportunity to interact