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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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environment Estimated Incorporation date: January 2026 Funded by Reticular enzyme-like catalysis (RETICAT)- BBVA Foundation Fundamentos Program 2024 How to apply: All applications must be made via the ICN2
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confocal microscopy) and flow cytometry. The Postdoctoral Researcher will be expected to interact effectively with researchers from a range of different disciplines to contribute to the programme of research
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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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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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Funded by the European Research Council (ERC) in the framework of the H2020 Research and Innovation Programme (ERC AdG; GA 101019003 CLIPOFF-CHEM) How to apply: All applications must be made via the ICN2
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year 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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advantages contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated
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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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, participation in project meetings, and rigorous management of data storage and analysis. Requirements: Education: A PhD in Biochemistry and Biology, Nanoscience and Nanotechnology, Materials Science or similar