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ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
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and glacier models, based on large ensembles of simulations extending to 2300. The simulations will be from two international projects aiming to inform the Intergovernmental Panel on Climate Change
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design in laboratory or field settings. 3D modeling, environment design, or immersive simulation. Excellent written and verbal communication skills. Demonstrated ability to work independently and
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), which has produced thousands of ice sheet and glacier simulations, and ISMIP7 (Ice Sheet Model Intercomparison Project for CMIP7), which will have new ice sheet simulations in 2026. You will use your
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simulations to identify key mechanistic drivers of viral persistence and immune response, and use SciML to automatically select ODE/PDE models that include these mechanisms. The postdoc will develop
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), which has produced thousands of ice sheet and glacier simulations, and ISMIP7 (Ice Sheet Model Intercomparison Project for CMIP7), which will have new ice sheet simulations in 2026. You will use your
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at Michigan Tech. The work will focus on building advanced reservoir simulation models coupled with geomechanics, performing risk assessments using NRAP tools, and contributing to leakage risk quantification
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of the GRISLI model Code programming in Python and Fortran Write scientific articles - good level of English required Analysis of a large set of GRISLI simulations and sensitivity study Presentation of results
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, computational biology, physics or a related discipline, and have experience of agent-based and/or continuum modelling, analysis and simulation. You will have experience of programming in Python and C
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
for this position will work to develop a conservative machine-learning based sea ice model correction that can be applied to fully coupled climate model simulations. The project will involve: 1) the development of a