35 Statistics "The University of Edinburgh" positions in Ireland-United-Kingdom in Norway
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- University of Oslo
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- Inland Norway University of Applied Sciences
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- NTNU - Norwegian University of Science and Technology
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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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methods and statistical analysis as well as routine documentation with GitHub Demonstrated knowledge on ‘omics` laboratory methods Experience working with biological oceanographic methods (primary
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must hold a degree equivalent to a Norwegian doctoral degree in astronomy, physics, statistics, informatics or related topics. Candidates are encouraged to apply before the completion of their PhD degree
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, statistical physics, continuum mechanics. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Programming Experience Skills in Computational
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the medical domain. The current focus lies on medical data analysis, including image segmentation, explainable artificial intelligence, synthetic data generation, and combining statistical methods with machine
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mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics
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teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics
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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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patterns in soil organic matter that correlate with soil health Perform statistical analyses to relate soil chemistry and soil health categories Qualification requirements: The Faculty of Mathematics and
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in English Proven skills in R language, molecular ecology methods and statistical analysis as well as routine documentation with GitHub Demonstrated knowledge on ‘omics` laboratory methods Experience