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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
Computational Chemistry, Materials Science, or a related field. Strong background in computational chemistry techniques, including molecular dynamics, quantum mechanical simulations, and machine learning
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, chemical kinetics, energy, plasma-reagent interactions, plasma processing for industrial applications. modeling and simulation of plasma dynamics. Research: Conduct high-impact research in the field
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for industrial applications. modeling and simulation of plasma dynamics. Research: Conduct high-impact research in the field of low-temperature plasmas: plasma processing, plasma chemistry, and industrial
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. Strong knowledge of heterogeneous catalysis and computational chemistry. Experience with computational modeling (i,e, DFT, and/or molecular dynamics). Familiarity with software such as Material Studio
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CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in
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assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation
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the molecular level to achieve membranes with high selectivity, conductivity, and stability. The candidate is expected to have an extensive experience in chemistry of polymers and organic synthesis, development
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with up-to-date science. The institute consists of a multidisciplinary team of agronomists, biochemists, molecular biologists, bioprocess specialists, animal scientists working with agricultural