42 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions at ICN2
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programming (Python, matlab). Knowledge in printing/deposition techniques. Knowledge/experience in large scale deposition/printing techniques. Experience/Background in polymers science. Capability to work
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. Support to the relocation issues. Life Insurance. Work-Life Balance and Flexibility with flexible work schedules 28 holidays per year Flexible compensation plan: tax advantages contracting some products
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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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or similar. Knowledge and Professional Experience: Programming Languages: Solid knowledge in at least one of the following environments (and willingness to learn others): Python (Django), PHP (Laravel
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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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programming (Python, matlab). Knowledge in printing/deposition techniques. Knowledge/experience in large scale deposition/printing techniques. Experience/Background in polymers science. Capability to work
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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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. Support to the relocation issues. Life Insurance. Work-Life Balance and Flexibility with flexible work schedules 28 holidays per year Flexible compensation plan: tax advantages contracting some products
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to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multipurpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic
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nanostructures, 2D materials, topological insulators...). This position is related to MolSenDev (PID2022-140845OB-C63), a project within the program of the Spanish Research Agency PROYECTOS DE GENERACIÓN DE