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demonstrated experience. 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
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Flexibility with flexible work schedules 28 holidays per year Flexible compensation plan: tax advantages contracting some products (health insurance, childcare, training, among others.) Training activities
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Flexibility with flexible work schedules 28 holidays per year Flexible compensation plan: tax advantages contracting some products (health insurance, childcare, training, among others.) Training activities
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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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English Technical skills: Strong programming skills in R or Python. Additional experience in, for example, C, C++, MATLAB, or Julia would be a plus Bash scripting in a Linux environment, ideally tailored
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) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program based on Density Functional Theory, which can describe the atomic and electronic properties of systems
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on qualifications and demonstrated experience. Support to the relocation issues. Life Insurance. Work-Life Balance and Flexibility with flexible work schedules 28 holidays per year Flexible compensation plan: tax
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the Barcelona area, and with strong collaborations with our Spanish partners within the Complementary Plan of Quantum Communications (https://www.quantumcommunicationsspain.eu/en ). This project is funded by MCIN
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Incorporation date: as soon as possible RIANA project: This project has received funding from the European Union's Horizon Europe research and innovation programme under grant agreement No. 101130652. How
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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