153 Statistics-"University-of-Surrey--------" positions in Ireland-United-Kingdom in Norway
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- University of Oslo
- UiT The Arctic University of Norway
- University of Bergen
- Norwegian University of Life Sciences (NMBU)
- NTNU Norwegian University of Science and Technology
- OsloMet
- Inland Norway University of Applied Sciences
- NTNU - Norwegian University of Science and Technology
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- University of Stavanger
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- University of South-Eastern Norway
- NORCE
- Norwegian Institute of Bioeconomy Research
- Norwegian University of Science and Technology (NTNU)
- The Norwegian Polar Institute
- UiT The Arctic Univeristy of Norway
- University of Agder
- University of Agder (UiA)
- Western Norway University of Applied Sciences
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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
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statistical material. Perform qualitative and quantitative analyses. Assist with organizing conferences and seminars. Conduct literature searches. Other administrative tasks. Requirements and personal
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interaction processes and mineralogy or Physical and/or chemical planet formation processes Experience with numerical modelling of the relevant processes Interest in exploring statistical or machine-learning
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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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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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. Desired qualifications experience with omics, big data, and statistics using R or similar tools good understanding of biological disease processes and ophthalmology experience using AI to predict health