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benchmarking. Contribution to SIESTA training events. Contribution to other activities in the group. Requirements: PhD in Physics, Materials Science, Chemistry, Computer Science, or related disciplines
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. Requirements: Minimum: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related field. Demonstrated experience implementing heuristic/metaheuristic optimisation (e.g
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of results in national/international conferences Requirements: Education: Ph.D. in Chemical Engineering, Electrochemical Engineering, and/or Chemistry. Knowledgeand Professional Experience: Batteries
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of PhD students. Requirements: PhD Degree in Organic Chemistry (essential requirement; no CV will be evaluated without this requirement.) Knowledge and Professional Experience: Organic Chemistry is an
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internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural
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/Project: The NanoElectrocatalysis and Sustainable Chemistry Group combines electrochemistry, materials engineering and in situ characterisation at the atomic scale to elucidate design principles
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to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic
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students and other researchers on in-situ (S)TEM. Requirements: · Education: PhD in Chemistry, Physics or Material Science, or closely related fields, with a strong focus on nanomaterials and advanced