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South America. Clear evidence of training and research experience in areas related to precision medicine. Competency in data analysis (including coding in R, Stata and Python). Management (with SQL), with
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systems Experience in the fields of surface catalysis, electrochemistry or thin-film deposition Experience in programming in Python Experience in handling large spectroscopy datasets Experience in assisting
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languages such as Python, C++, or Julia Demonstrated experience in the development of hardware-accelerated scientific applications and high-performance distributed computing Commitment to the best practices
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. ability to code MBSE models in Capella. proficiency in Python programming. Application Welcome with your application, no later than October 7, 2025, including: Motivation letter CV Certified diplomas
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collaborations (e.g. the Pristine Survey, Gaia-ESO Survey). Expertise in high-precision spectroscopy of K- and M-type giants, especially using IGRINS data. Proficiency in Python, IDL, TOPCAT, and other relevant
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, Natural Sciences, or equivalent qualifications and experience Proven software development skills in high-level programming languages such as Python, C++, or Julia Demonstrated experience in the development
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applications Fluency or advanced level of English language in speech and writing Meritorious are: Experience of mathematical methods for inverse problems Software development, e.g. Matlab or Python Good ability
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data analysis (including coding in R, Stata and Python). Management (with SQL), with special emphasis on machine and deep learning methods, referencing software (e.g. Endnote). Excellent written and oral
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related field Proven methodological and research expertise Strong programming skills (Python, R, Bash or similar) for omics data processing, QC, statistical testing, and visualization to support biological
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deployment of research-grade AI tools. Proficiency in Python (and preferably R); experience with data engineering for omics, containers, CI/testing, and high-quality visualization/reporting. Strong publication