34 machine-learning "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions at Aarhus University in Denmark
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-constrained machine-learning (ML) models in simulations of turbulent flows. You are expected to contribute to research and development in data-driven methodologies for turbulence modeling in LES (i.e., wall and
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. These variables include cover crop growth, crop nitrogen, yield, and tillage practices. You will develop novel algorithms to integrate data-driven machine learning and process-based radiative transfer models
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helium droplet machines. Also, you will be jointly responsible for making sure that various experimental apparatus in the laboratories are maintained and serviced with timely care. In particular
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frameworks for disorder and property fluctuations will be considered and can compensate for limited prior experience in fracture mechanics. You should be motivated to learn new theories and to integrate them