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computational simulations in the area of density functional theory (DFT). The role will focus on understanding and predicting the properties of novel functional materials, including surfaces and interfaces
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. Ideal candidate will bring a robust background in nuclear theory, with experience in areas such as Density Functional Theory, the nuclear Shell Model, or Effective Field Theory. Learn more about the
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chemical methods (beyond density functional theory); experience in theory development and applications to heterogeneous catalysis and complex reactive interfaces involving metal nanoclusters are essential
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
well as their interaction mechanisms with “normal” matter. Ideal candidate will bring a robust background in nuclear theory, with experience in areas such as Density Functional Theory, the nuclear Shell Model, or Effective
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Lawrence Berkeley National Lab’s (LBNL ) Energy Storage & Distributed Resources Division has an opening for a Postdoctoral Fellow to join the team. In this exciting role, you will conduct research
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this context. This will include theoretical work towards an improved understanding of how the microscopic interactions of dark matter particles can impact the shape of matter density perturbations in the early
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density functional theory (DFT) methods integrated with data-driven artificial intelligence techniques. Research may encompass the development and application of machine learning force fields, high
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Computational Chemistry, Catalysis, Energy Chemistry, or a related field. Extensive expertise in Density Functional Theory (DFT) for material design and optimization. Proficiency in computational tools and