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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
ocean models, available in-situ data, and satellite observations. The study builds on analyses from a consortium of models, such as Estimating the Circulation and Climate of the Ocean (ECCO, http
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. Key duties
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. He/She will have to develop a solution and time-dependent Raman measurement methodology for monitoring the structural changes induced on the reagents during catalysis and for observing the appearance
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governs their thermal performance, operational robustness and cost. The overall aim of the project is to design, optimize and digitally model the cooling system of a pilot-scale electrochemical reactor
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the development of advanced materials from renewable bio-resources. Our mission spans from fundamental science, understanding structure-property relationships at multiple scales to applied engineering, creating
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integration. Investigate how traction grids can support high-power charging at construction-sites though optimal sizing of chargers and mobile battery storage systems based on the demand and through energy
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formulations with PFAS-free binders, in line with the sustainability goals of the project. You will explore compositions and pellet morphologies to optimize mass transport and reactivity with the mediator
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MinION (SNPs, structural variants, transposable elements, …) - Analyses of evolutionary genomics (phylogenomics, orthology, selection, synteny) -Contribution to data production (strain collection and
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No. SE 2026/9 The Research Group Hybrid Material Systems is looking for Postdoc (f/m/d) Your Tasks You analyse the chemical and electronic structure of modern semiconductors and interfaces (AR-UPS, CFS-YS
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-ray characterization, physics-based modeling, and AI-driven data analysis to accelerate the discovery and optimization of hierarchical metamaterials. The position involves conducting in situ