65 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions in Switzerland
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. Empa is a research institution of the ETH Domain. The Biointerfaces Laboratory is offering a Postdoc position focused on the development of in vitro simulation models for performance evaluation
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Laboratory is offering a Postdoc position focused on the development of in vitro simulation models for performance evaluation of antimicrobial coatings. This project aims to tackle the growing challenge
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and resilient materials and structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both
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information across scales. In this project, you will leverage the large soil database (>2000 profiles) hosted by the Soil Functions and Dynamics group, along with soil spatial modeling techniques, to assess
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advantage. A 1.5-year fully funded postdoctoral position in a dynamic and international research group within the Department of Environmental Sciences at the University of Basel. You will have access to state
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noise. In this position, you will further develop our numerical simulations for outdoor sound propagation. You advance our existing simulation platform to consider atmospheric turbulence effects and make
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of strongly correlated electron systems on surfaces. A particular focus is placed on molecular spin systems, where you can harness quantum correlations of many-body spin systems, enabled by atomically precise
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modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel nanostructured materials, their shape-forming and integration into devices. Your tasks We are seeking a highly
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thinking with renewable energy community planning, developing methodological innovations that bridge quantitative modeling and qualitative approaches. Your tasks Develop and apply optimization and simulation
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, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement