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Chemistry Description of Group/Project: The NanoElectrocatalysis and Sustainable Chemistry Group combines electrochemistry, materials engineering and in situ characterisation at the atomic scale to elucidate
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, training, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: January 2026 How to apply: All applications must be
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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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or MSc (or near-completion) in Physics, Materials Science, Computer Science, Electrical/Computational Engineering, or related field. - Hands-on Python (data wrangling, scripting, automation); comfort with
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ranging from polymer chemistry and organic/functional synthesis to advanced materials science, the study of contaminant-surface interaction at the molecular level, and filtration prototype validation in
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). Keep experiments reproducible (scripts, configs, logs) and write a short technical report. Requirements: Minimum required: - Enrolled BSc (Year 3-4) in Physics, Materials Science, Computer Science
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widely used by the academic community (about one thousand citations per year), and has been a flagship code of the MaX European Centre of Excellence for exascale computing in Materials Science (www.max
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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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: Education: ·PhD in chemistry, biochemistry. Master in similar fields will be positivitely valorated. Knowledge and experience: ·Background in biosensor devices and clinical applications ·Knowledge in
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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