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chemistry and you want to have a strong influence on the topic of your PhD project for fulfilling your dreams and ambitions, this open position within the field of theoretical chemical dynamics might be
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular
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University of Jena - Cluster of Excellence "Balance of the Microverse" | Jena, Th ringen | Germany | 2 days ago
medical fields to enhance our understanding of microbial balance from the molecular to the ecosystem level. We develop tools and detection technologies to shape microbiome dynamics for environmental and
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apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular dynamics (MD) simulations
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the research team. Applying for research grants Qualification and personal qualities The applicant must hold a Norwegian PhD or equivalent doctoral degree in molecular and cell biology, and neurochemistry
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, Qualifications and Training : PhD in Solid-state Chemistry or Physics (or very close to completion) Experience in areas including (but not limited to) : Ionic conductors Dynamic properties of solids Advanced
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 1 month ago
complexes. The successful candidate will develop novel graph neural network (GNN) architectures to learn dynamic information from molecular dynamics (MD) simulations of protein-protein and protein-nucleic
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barrier in the planned KBS-3 concept for final disposal of spent nuclear fuel. The PhD student will develop, apply, and combine theoretical molecular dynamics (MD) simulations with experimental techniques
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. Job Requirements: PhD degree in Civil and Environmental Engineering or related field Relevant research experience on geotechnical engineering Relevant research experience in molecular dynamics
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on geotechnical engineering Relevant research experience in molecular dynamics simulations and computational fluid dynamics will be preferred. Excellent proposal writing and report writing skill Excellent journal