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position (Reference REQUIMTE 2026-30) is available at REQUIMTE, at the project BeTASTy – “New Molecular and Cell-based Approaches to assess Food Astringency and Bitterness” Grant Agreement 101040462 ERC-2021
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approach (CPlantBox) to mechanistically simulate plant growth, plant-soil interactions and the rhizosphere microbiome. You will contribute to model development and apply it to disentangle the role of root
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systems, biomolecular interfaces, and catalytic processes. The project will use molecular dynamics simulations to understand molecular mechanisms of metal-based antimicrobial systems and biomolecular
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to increase usage by the community. [1] https://doi.org/10.1039/C9SM01877H [2] https://doi.org/10.1063/1.5123683 [3] https://doi.org/10.6028/jres.123.004 key words Molecular simulation; Monte Carlo
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 6 days ago
(graph neural networks and transformers) The objective is to learn conformational heterogeneity directly from molecular dynamics simulations and to identify and predict allosteric communication pathways
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
analyzing molecular dynamics (MD) simulations to understand water and solute transport through highly crosslinked polyamide systems. The postdoctoral researcher will study polymer chemistry, crosslinking
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how nanoparticles prefer to attach to each other. The machine-learning models will be validated against detailed atomistic simulations and compared with experimental results on self-assembly. Ultimately
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numerical work. Skills in molecular dynamics simulation are welcome, and in English is required. Additional Information Work Location(s) Number of offers available1Company/InstituteINSA de Lyon, Laboratoire
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20 Mar 2026 Job Information Organisation/Company Roumen Tsanev Institute of Molecular Biology Research Field Juridical sciences » Public law Researcher Profile Other Profession Positions Master
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fundamental questions in statistical physics. The work is primarily numerical, and we seek candidates with experience in particle-based simulations (e.g., molecular dynamics) and a strong interest in large