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. Requirements: Education: B.Sc. and M.Sc. in Physics, Materials Science, Chemistry, Computer Science, or related disciplines. - DFT-based methods and molecular dynamics. - Machine learning, and data analysis
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internal reports and manuscripts. Requirements: Minimum (required) PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge molecular dynamics
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Flexible compensation plan: tax advantages contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme
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tools. Requirements: Education: · Undergraduate in Physics, Chemistry, Materials Science, or related disciplines. · PhD in Physics, Materials Science, Chemistry, Computer Science, or related disciplines
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Flexible compensation plan: tax advantages contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme
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, Computer Science, or related disciplines. Knowledge and Professional Experience: · Knowledge of programming languages used in data analysis (particularly python) is strongly recommended. · High Performance
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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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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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. 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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. Requirements: Minimum: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related field. Demonstrated experience implementing heuristic/metaheuristic optimisation (e.g