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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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advantages contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated
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flexible work schedules 28 holidays per year Flexible compensation plan: tax advantages contracting some products (health insurance, childcare, training, among others.) Training activities: languages
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: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: April 2025 How to apply: All applications must be made via the ICN2 website and include
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. Knowledge and Professional Experience: Knowledge of programming languages used in data analysis (particularly Fortran and/or Python) will be valued, but it is not essential. High Performance Computing
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to large datasets You have proven programming competence in Python and/or R, and expertise in Linux and high-performance computing environments You have a genuine interest in, and prior exposure (through lab
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holidays per year Flexible compensation plan: tax advantages contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing
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, graphene-based nanostructures, 2D materials, topological insulators...). This position is related to MOLESENSE (PID2022-140845OB-C63), a project within the program of the Spanish Research Agency PROYECTOS DE
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, the Spanish Ministry of Science and Innovation, Generalitat de Catalunya, an AXA chair, European Foundation for the Study of Diabetes, the Marie Skłodowska-Curie Actions program, and a CIBERDEM diabetes network
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Postdoctoral Researcher for the CarrerasLeaders programme, co-funded by the Marie Skłodowska-Curie (MSCA) Actions of the European Commission. This is the Call 4 of the program following the successful