76 parallel-processing positions at Center for Biological Research "Margarita Salas" CSIC
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main objectives: 1) Adapting mass data processing technologies to the UPG 2) Extension of data analysis and integration 3) Implementation of tools and methods within the framework of computational
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. Must have successfully completed a Master’s Degree before September 2026, granting access to doctoral programs within the EEES Selection process Open, transparent and merit-based process consisting
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Master’s Degree before September 2026, granting access to doctoral programs within the EEES Selection process Open, transparent and merit-based process consisting of evaluation of CV, motivation letter
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, as part of ongoing projects, contributing to the process of innovation and creativity of new analytical approaches and solutions for companies. This is an opportunity for personal and professional
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DNA/RNA high-throughput sequencing data analysis and image processing. We are looking for candidates that can expand the skills from the Unit towards proteomic and metabolomic data analyses. The Unit
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electron microscopist to be in charge of the day-to-day operation and maintenance of the state-of-the-art Thermofisher Spectra 300, a joint initiative of several institutions of international prestige
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described in the requirements for this position. Specialised training in virtual anatomical reconstruction, medical image processing and geometric morphometrics will be valued. Courses in 3D analysis software
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within the EEES. Selection process Open, transparent and merit-based process consisting of evaluation of CV, motivation letter, academic transcript and personal interview (online) of shortlisted candidates
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within the EEES Selection process Open, transparent and merit-based process consisting of evaluation of CV, motivation letter, academic transcript and personal interview (online) of shortlisted candidates
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: processing and organization of microdata sets. • Statistical analysis: application of statistical methodologies to the data. • Programming (code editing): adaptation of existing scripts and code packages (in R