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contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date
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: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: as soon as possible How to apply: All applications must be made via the ICN2 website and include
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: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: as soon as possible How to apply: All applications must be made via the ICN2 website and include
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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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. Experience with MBE equipment and synthesis would be a bonus. Giv-en the specificity of this position, preference will be given to bilingual candidates, fluent in both English and Chinese. Appointment Details
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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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. 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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, 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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such as ATAC-seq, chIP-seq and 3D chromatin conformation capture data You have experience in the analysis of single-cell data Education and training You hold a PhD degree in Computational Biology Languages