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- Norwegian University of Life Sciences (NMBU)
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- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- NTNU - Norwegian University of Science and Technology
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- Norwegian University of Science and Technology (NTNU)
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, contribute to technical committee meetings. Required selection criteria You must have a relevant background in computer science and engineering, communication, mathematics, or statistics. Your education must
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selection criteria You must have a relevant background in computer science and engineering, communication, mathematics, or statistics. Your education must correspond to a five-year Norwegian degree program
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to collaborate extensively with other researchers at the center and collaborators of the center, including scientists in psychology, statistics, and genetics. The position will offer opportunities to develop high
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basic research and applied research at a high international level. Our aim is to meet the society’s needs for mathematical and statistical expertise in business and public administration as well as in
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scientists in psychology, statistics, and genetics. The position will offer opportunities to develop high-quality research competence, work with leading experts in the field, and take part in the group’s
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must hold a master's degree or the equivalent in medicine, health sciences, statistics or equivalent method-oriented subjects, or must have submitted his/her master's thesis for assessment prior
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Willingness to travel to Africa every year Good communication skills (e.g. previous presentation at a conference) Knowledge of French Knowledge of statistical methods using R (please specify which modelling
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Good communication and presentation skills Knowledge of French Knowledge of statistical methods, including R, is highly desirable (if not the candidate will have to follow a course) Interest in cultural
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. The candidates are anticipated to undertake: Review of the scientific literature and state-of-the-art on treatment technologies for aquaculture sludge and wastewater Advanced statistical analysis and other data
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multi-scale assessments of CO₂ migration in stress-sensitive rock models. A major focus will be on statistical analysis of seismicity data from multiple detection systems (seismometers and FO cables