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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
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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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in the Mathematical Institute (https://www.maths.ox.ac.uk/groups/mathematical-biology/infectious-disease-modelling). The postdoctoral researchers will develop data-driven mathematical models and
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Postdoctoral Researcher in (ocean) biogeochemical modelling Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline: 30 June 2025
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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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decarbonization applications. With guidance, the appointee will: Develop advanced multiscale, multiphysics simulation tools applicable to the modeling of chemical processes and equipment relevant to chemical
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, contributing to our development and the success of our mission. The core responsibility of this role is the development of multiscale computational models, with particular emphasis on bio-based composite
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(HGG) at the Department of Geoscience, we’re looking for a motivated postdoc for a 1-year postdoc position (with a possible extension for 1 more year) to advance groundwater modelling approaches as part
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 11 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