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, wood technology, or a related field) Strong quantitative skills Experience with statistical analysis and programming, preferably in R and/or Phyton Experience with publishing high-quality scientific
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experience with mammalian cell culture, viral transduction and establishment of stable cell lines. Good organizational skills Basic knowledge of statistics Excellent communication skills in written and spoken
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qualifications PhD within forest sciences or statistics. Competence in forestry and model-based inference for forest inventory applications. Competence in DA. Experience in use of remotely sensed data for forest
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departments in Oslo and several research groups at the University of Oslo. The main goal is to develop tools and knowledge for precision medicine in psychiatry, building on advanced statistical methods
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and national health registries. The group is interdisciplinary with researchers from the field of medicine, biology, statistics, and more. Responsibilities The PhD candidate will conduct research in
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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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and national health registries. The group is interdisciplinary with researchers from the field of medicine, biology, statistics, and more. Responsibilities The PhD candidate will conduct research in
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statistics for dataset analysis is a requirement Applicants must be able to work independently and in a structured manner and have the ability to cooperate with others. Applicants must have excellent skills in
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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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spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data