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quantification in forecasting and integrate your models into the open-source OpenSTEF platform and the Linux Foundation Energy ecosystem. You will work closely with SME partners in short-cycle innovation
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integrate your models into the open-source OpenSTEF platform and the Linux Foundation Energy ecosystem. You will work closely with SME partners in short-cycle innovation trajectories of 6 to 18 months
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-informed ML Experience working with Linux and HPC environments is an advantage. Strong communication skills and excellent proficiency in English. You enjoy working in an international, interdisciplinary team
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, Quantitative Genetics, Population or Statistical Genetics). Demonstrated experience in analytical and quantitative skills. Proficiency in programming and data analysis tools (e.g. Python, R, Fortran, Linux