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of Researchers of the European Commission and the Open, Transparent and Merit based Recruitment principles (OTM-R) https://ibecbarcelona.eu/careers-at-ibec/jobs/ IBEC´s Commitment on equal opportunity, diversity
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Recruitment principles (OTM-R) https://ibecbarcelona.eu/careers-at-ibec/jobs/ IBEC´s Commitment on equal opportunity, diversity, and Inclusion: Our strength and excellence as an international transdisciplinary
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and scalable pipelines (e.g., using Snakemake, Nextflow, or custom scripts). Automate common data processing workflows in bash, R, or Python. Maintain version control using GitHub and contribute
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, preferably in neuroscience, psychology, or arts and health, including the creative arts therapies. Preferred: demonstrated expertise in data analysis and statistics (e.g., R, Python, MATLAB, SPSS), preferably
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collaboration agreement with the company. The successful applicant will work on the R&D project on an exclusive basis. The work performed for the university and the company will be distributed in such a way as to
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collaboration agreement with the company. The successful applicant will work on the R&D project on an exclusive basis. The work performed for the university and the company will be distributed in such a way as to
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experiments is required. A strong record of peer-reviewed publications in relevant areas, as well as documented proficiency in R, GitHub, and related tools such as Shiny apps, is essential. Experience in
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
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relative to opportunities when assessing suitability for the role. Applications close 18 September 2025 at 11.00pm AEST (R-55191). Please note that interviews have been tentatively scheduled for the week
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to summarize and communicate key results. Previous experience collecting, categorizing, and storing physical samples and digital data Strong Proficiency in creating reproducible data analysis workflows with R