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statistical analysis and ecological data, preferably using R or related tools Good written and oral communication skills in English, and knowledge of a Scandinavian language will be an advantage In addition
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) Documented record of advanced quantitative methods skills in R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches
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NOKUT) Candidates who already hold a PhD will not be considered for the position In the assessment and ranking of qualified applicants, emphasis will be placed on: Experience with relevant R&D work
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ranking of qualified applicants, emphasis will be placed on: Experience with relevant R&D work (publishing, methodological knowledge) in the field Experience from municipal healthcare in Norway, preferably
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and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology, geography, soil science, or atmospheric sciences. Personal qualities: Strong academic drive
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, Atmospheric Science, Environmental Science, or related fields Good knowledge and skills in statistics and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology
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well as analysis of data using R software will be advantageous for the position. The candidate should have an excellent academic record, be highly motivated, demonstrate independent scientific thinking and
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modelling, preferably in R Fluent oral and written communication skills in English. Relevant and significant scientific publications in respected journals, at the level of the career status of the applicant
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is supervised by Professor Amir R. Nejad and Professor Ole Andre Øiseth . Your immediate leader is Head of Department. Duties of the position Development of integrated condition monitoring system
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dynamics or climate dynamics, basic shell scripting, and python/Matlab/R or similar languages. Experience with “traditional” climate modelling, data-driven climate modelling, and working with large ensembles