Sort by
Refine Your Search
-
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
-
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
-
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
-
methods and statistical analysis as well as routine documentation with GitHub Demonstrated knowledge on ‘omics` laboratory methods Experience working with biological oceanographic methods (primary
-
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
-
credentials. Applicants 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
-
: computational physics, 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
-
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
-
qualifications will count in the assessment of the applicants: Molecular Biology methods, Bioinformatics, Immunofluorescence, Flow Cytometry, Immunology, Fish Biology, Histology methods, Statistics Previous
-
fields is required by the applicants: Molecular dynamics Software development Git Machine learning HPC Statistical mechanics/thermodynamics Personal skills: Excellent teamwork capabilities, social skills