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. The required expertise includes raw UPLC-MS-collected data preprocessing with XCMS, MZmine or MSDIAL, normalization procedures, proficiency in R and/or Python for scripting and data analysis, metabolite ID via
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, Catalan and English Preferred: Participation as author in scientific papers related to the topic. Conferences participation in related topics. Experience coordinating or technically leading R&D tasks within
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entry software. Statistical analyses and associated software (e.g., R and SPSS) Experience with biological sample collection (e.g., muscle biopsy) and processing Proficiency in basic laboratory techniques
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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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the starting date of the position. Demonstrated competencies and skills within programming and statistical analyses (e.g., in Python, R, etc) are a requirement. A background in media technology & AI is a
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. Specifically, the Doctorate Initial level will develop R&D activities in the scope of Project “PRODUCING RAILWAY ROLLINGSTOCK IN PORTUGAL” which inserts in the area of Mechanical Engineering, contributing
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to process data and/or answer quantitative research questions (e.g., but not limited to applications written in either R, Python, Julia, Go, Java, or C/C++). E3: Experience of scientific writing. E4: Proven
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) meeting qualification requirements described above, (ii) all required documents provided. Shortlisted candidates will be invited for a personal or online interview. The Faculty Recruitment Policy (OTM-R
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described above, (ii) all required documents provided. Shortlisted candidates will be invited for a personal or online interview. The Faculty Recruitment Policy (OTM-R) can be seen here . Faculty of Science
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 1 month ago
of undergraduate, master, and PhD students, (iii) participation in R&D project, preferably as PI, within an aquaculture research context, services, and technology transfer processes; (iv) participation in science