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energy density matter , High Energy Experimental , High Energy Physics , high energy physics or mathematical physics , High Energy Theory , High Energy Theory Group , High Performance Computing
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where theoretical understanding remains limited. The project combines next-to-leading order calculations within the Colour Glass Condensate (CGC) effective theory with phenomenological studies of key
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performance, yet their atomic-scale origin and role in reactivity remain poorly understood. The project addresses this open problem by integrating high-throughput Density Functional Theory, machine-learning
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to identify, characterize, and understand structural instabilities in these materials, with measurements conducted as a function of hydrostatic pressure, uniaxial stress, and temperature. Density Functional
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measurements to identify and characterize these states, with experiments performed as a function of temperature and uniaxial stress. Density Functional Theory (DFT) calculations can complement the experimental
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resolved (polarized, low-temperature) absorption and photoluminescence spectroscopy, and a good knowledge in the use of density functional theory calculations of these materials. Job description We
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energy density matter , High Energy Experimental , High Energy Physics , high energy physics or mathematical physics , High Energy Theory , High Energy Theory Group , High Performance Computing
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. Candidate Profile The ideal candidate should have a background in Solid-State Physics, Polymer Physics, or Physical Chemistry. Experience with density functional theory (DFT) and molecular dynamics software
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mechanisms in porous liquids. Density Functional Theory (DFT) calculations will allow analysis of specific interactions between gas molecules and POSS cages. **Scientific Environment** The PhD will be carried
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. Responsibilities and qualifications The main focus of the job is to do computational research using Density Functional theory calculations to understand spin-mediated promotion effects in heterogeneous catalysis