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focused on modeling and simulations of turbulent mixed-phase clouds. This interdisciplinary project encourages collaboration with experts in atmospheric physics. The successful candidate will contribute
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, pilot-scale, or high-fidelity simulation data into model calibration and validation workflows Design and run numerical simulations of multiphase flow systems and reactors Quantify model uncertainty and
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Arctic headwaters. It will include field studies and the use of existing data, potentially complemented with modelling. The postdoc is also expected to collaborate with project partners and carry out
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Keen to push the frontiers of multiphase reactor modeling and accelerate the scale-up of emerging net-zero technologies? Join us at the Department of Chemistry and Chemical Engineering! About us Our
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design. One of our group's goals is to create efficient surrogate models that reduce the computational cost of MD simulations by several orders of magnitude. Notable examples of our work in this area
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-based analysis of structures - Experience with Monte Carlo simulation, FORM/SORM, or similar methods - Ability to work with experimental, monitoring, or inspection data for model updating and uncertainty
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the research project We are seeking a highly motivated Postdoc to join our group in developing generative surrogate models for molecular dynamics (MD). MD is a foundational technology across the
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expected to collaborate closely with the other partners, particularly the four postdocs located with the other teams. The research will involve developing conceptual and simulation models of MSA in
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, components, overall system performance) Numerical methods and simulation tools (e.g., Python/Matlab, CFD modelling, optimization) Beyond technical skills, we value people who contribute to a healthy and
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to apply is 31 March, 2026. Research environment The postdoc will join the group of Dr. Barbara Sixt, a well-funded and highly international research team. The lab is based at Umeå University in