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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely
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desirable that the candidates have strong knowledge in at least one of the following research directions: 1) array signal processing 2) Radio channel sounding, estimation, and modelling 3) Integration design
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on close collaboration between the university and industry and aims to optimize processes, reduce error margins and increase productivity in the industrial companies involved in the project. Virtual models
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of isotopes, ecohydrology, and modeling mainly in the continuum water-soil-plant-atmosphere. Key Responsibilities: Develop and calibrate isotopic tracers to understand water sources, transport processes, and
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Postdoctoral position in mathematical modelling of cognitive processes to be filled by 1 September 2025 or as soon as possible thereafter. The position is for 2 years. Information about CoInAct can be found
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. Research will focus on identifying and publishing results in methods to build foundation models, using multimodal and multiscale health data. The role is funded for 24 months in the first instance. About You
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
is reproduced in the NASA Ames Electric Arc Shock Tube (EAST) facility, and is used to test models developed to predict the heating mechanisms. The primary models employed are the DPLR computational
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University of Idaho, Institute for Modeling Collaboration and Innovation Position ID: 3576 -PRASCM [#26425] Position Title: Position Type: Postdoctoral Position Location: Moscow, Idaho 83844
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Applications are invited for a Postdoctoral Researcher in High-resolution Modelling of Aerosol-cloud interactions to assess Marine Cloud Brightening. This position is part of the are provided by