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information on the PhD programme at: https://mf.no/en/Research/PhD The application The applicants must use the online application form in the portal Jobbnorge.no. Applications must include 1. A presentation of
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interest for good practice in programming, data management, and data analysis. Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society. Developing tasks
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familiarity with laboratory methods, such as qPCR, immunohistochemistry and flow cytometry are required. Experience in use of omics tools and handling of big dataset as well as analysis of data using R software
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multivariate data analysis, statistics, numerical simulations, and programming. Skills in academic writing illustrated by published works. Skills in Norwegian or other Scandinavian languages will be an extra
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interest for good practice in programming, data management, and data analysis. Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society. Developing tasks
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to innovations with real-world impact. Qualifications and personal qualities: The applicant must hold a Norwegian PhD or an equivalent degree within information or computer science, computational social science or
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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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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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account of the applicant's research interests and motivation for applying for the position. The names and contact information for two reference persons. One of these must be the main advisor from the PhD
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, administrative and archival data, GIS, and qualitative field research in Colombia, DR Congo, and Sri Lanka. More information is available at www.wareffects.eu . The position is a full-time, three-year PhD