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these properties in collaboration with geodynamicists to create numerical models of planets. We are looking for a highly motivated individual who would want to be part of a five-year research program to quantify
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predictive modeling approaches to understand corrosion mechanisms and coolant/fuel chemistry in extreme conditions. The successful candidate will oversee corrosion-focused projects sponsored by industry and/or
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consists of 18 research groups covering a wide range of mathematical disciplines – from pure and applied mathematics to numerical analysis and optimization, as well as mathematical statistics and machine
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partnership with the Qatar Foundation for Education, Science and Community Development. WCM-Q seeks candidates for a postdoctoral associate position in Mathematical Modeling of Communicable and Non-communicable
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will be hosted at LCPMR (Sorbonne Université, Paris), in a dynamic scientific environment internationally recognized for its expertise in attoscience, numerical methods, and modeling. The EPAD project
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Postdoc (f/m/d) Leader of Junior Research Group "WEEE-Recycling" / Completed university studies (...
-hand experience in the application of machine learning, simulation and modelling concepts in resource technology # Proven track record of interdisciplinary collaboration along the value chain of raw
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. The role will involve designing surveys, working with existing datasets, and applying models of firm dynamics in settings of structural transformation and economic growth. We are interested in identifying
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areas in data science and engineering systems. Required Knowledge, Skills, and Abilities Demonstrated expertise in computational sciences and numerical modeling. Demonstrated expertise in machine learning
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of floodplain channels and lakes). By combining field monitoring and numerical modelling approaches, we will assess how reactivated paleochannels, constructed floodplain systems, or other solutions can create
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the strategy to be applied for training a learning model to predict wind and precipitation conditions based on a dataset combining numerical weather prediction models and in situ observations; Collect