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reservoirs in terms of geology. Using advanced geological modelling and numerical simulation techniques, this position will investigate the geological controls on hydrogen storage in depleted natural gas
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information science. Good knowledge of mathematical and theoretical physics methods of describing random processes and random fields. Experience with analytical and/or numerical methods for modelling qubit dynamics
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tracers. Specifically, you will use clinical molecular imaging data in combination with numerous methods (i.e., AI image analyses, PBPK modeling, immunohistochemistry, FACS). As a postdoctoral researcher
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experience in experimental durability research of construction materials; Solid background in numerical simulation and multi-scale modeling; Strong publication record in relevant journals; Excellent written
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motivated candidate with a proven track record of developing and utilising numerical models. Familiarity with multi-scale or scale-bridging techniques is a pre. You must have successfully completed a PhD
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abandoned gas fields that are potential storage sites. Robust screening procedures are necessary to select the most suitable reservoirs in terms of geology. Using advanced geological modelling and numerical
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October 2025 Apply now The Department of Earth Sciences is looking for a highly motivated postdoctoral candidate with a background in numerical modeling (DEM, FEM, BEM). Your job You will work on the
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and random fields. Experience with analytical and/or numerical methods for modelling qubit dynamics. Ability to work independently and collaboratively in a research team. TU Delft Delft University
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from advanced centrifuge tests with numerical simulations. We are looking for candidates with a PhD in geotechnical engineering and proven experience in numerical modeling of offshore foundation systems
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for high-impact, multidisciplinary research. Position Description We invite applications for a postdoctoral researcher to advance the multi-scale durability modeling of self-compacting concrete (SCC