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to grant writings. Further information on the Quantum Device Modelling group can be found: http://www.warwick.ac.uk/nanolab . Flexible Working We will consider applications for employment on a part-time or
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+ 22 + 14 months | Belvaux Are you fascinated by data-driven atomistic simulations for materials science? So are we! Come and join us. We seek a highly motivated and capable PhD candidate to develop and
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atomistic simulations to overcome the limitations of traditional molecular dynamics approaches, which struggle to capture the experimentally relevant size (20–100 nm) and molecular complexity of LNPs. ML
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) to organize simulation outputs for analysis, benchmarking, and reproducibility. Document workflows and contribute to publications and dissemination activities within the project. Where to apply Website https
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of dissertation topics: Development of Machine Learning Frameworks for Reactive Atomistic Materials Modeling (DSP II) Profile of the graduate This Ph.D. program is an interdisciplinary study combining physical
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the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association www.leibniz-gemeinschaft.de . You can find more details on the institute webpage: www.ikz-berlin.de . The Section Fundamental
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samples for the study. Further development will be granted by the dialog with advanced atomistic simulations (ab initio and tight-binding) carried out in the laboratory and the lively context offered by
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, are needed. Specific expertise can focus on modelling of e.g., polymer, biomolecular systems, or colloidal systems. We work at both atomistic and coarse-grained modelling levels and appreciate multiscale
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techniques such as in-situ and time-resolved spectroscopies/microscopies as well as rheological measurements on different length scales. Experiments are accompanied by modelling from the atomistic level to
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composition and atomistic modeling of materials. The main activities will include: - formulating new descriptors of critical temperature (Tc) incorporating electronic fluctuation effects, evaluated by