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medicine skills and experience in quantitative research methods and statistics at master’s degree level experience in performing statistical analysis of quantitative data, preferably as part of a master’s
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experience with statistics and data processing Personal characteristics high working capacity and ability structured and reliable good analytical skills ability to work independently and as part of a team
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with a community of ambitious researchers from the fields of machine learning, statistics, logic, language technology, and ethics. Integreat, the Norwegian centre for knowledge-driven machine learning
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dynamics) processes influencing energetic particle precipitation into the atmosphere statistical methods for handling complex data Experience from data analysis using scientific programming, e.g., Matlab
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in nutrition, biomedicine, pharmacy or biotechnology expertise in statistics, biostatistics, bioinformatics or similar. written and verbal proficiency in Norwegian/Scandinavian language and English
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participation in fieldwork Processing samples for next-generation sequencing, metabarcoding, analysis of trophic morphology, and analysis of growth trajectories Bioinformatic and statistical analyses Writing
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Engineering » Other Mathematics » Geometry Mathematics » Mathematical analysis Mathematics » Probability theory Mathematics » Statistics Mathematics » Other Researcher Profile First Stage Researcher (R1
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, proteomics, gut microbiome analyses, and/or other nutrigenomic tools). Process and perform statistical and bioinformatic analysis of data. To generate scientific communication and publications. The successful
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from mice. Treatment of data from different analyses related to the experiments (statistics, programming, interpretation of microbiota data from e.g. 16S rRNA gene sequencing) The successful candidate is
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or retain water. Our Faculty is involved in developing knowledge in this subject via domestic and international collaborative projects, using experimental data collection, statistical learning and numerical