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. • Programming or scripting skills (e.g., R, Python, bash). • Excellent written and verbal communication ability in English. English requirements for applicants from outside of EU/EEA countries and exemptions
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and library preparation is required. The applicant must have strong independent bioinformatics and programming skills in R, Python or equivalent. The applicant must be able to perform end-to-end
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in Matlab, Python, C/C++, Robot operating system (ROS) Personal qualities Personal suitability and good teamwork skills will be emphasized in the evaluation as well as relevant practical experience
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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knowledge of mountain environmental processes, alpine ecology, and/or vegetation change; experience from or competence in using R, Python or comparable programming and analytical tools; show evidence of being
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bioinformatic analysis of Next Generation Sequencing data, including command-line work in a high-performance computing environment. • Programming or scripting skills (e.g., R, Python, bash). • Excellent
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, preferably using MATLAB and/or Python. Good written and spoken English. Applicants not exempt from NOKUT requirements must document English proficiency (TOEFL or IELTS). TOEFL - Test of English as a Foreign
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is a requirement. Such experience may have been obtained through academic coursework, research projects, or professional employment. Experience with scientific programming using Python, R, Matlab
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quantitative skills are required. Experience and/or a strong interest in meteorology is an advantage. Demonstrated proficiency with scientific programming (e.g. Python) is an advantage. Demonstrated proficiency
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events and in machine learning for the earth system is required Strong and demonstrated programming skills are required Prior experience with geospatial data analysis in Python, working on scientific HPC