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Field
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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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credits/ECTS in nutrition, biomedicine, pharmacy or biotechnology expertise in statistics, biostatistics, bioinformatics or similar. written and verbal proficiency in Norwegian/Scandinavian language and
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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
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Norwegian centre of excellence with a community of ambitious researchers from the fields of machine learning, statistics, logic, language technology, and ethics. Integreat, the Norwegian centre for knowledge
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methodologies of statistics, logic, and machine learning in unique ways. Integreat's machine learning will solve fundamental problems in science, technology, health, and society, and contribute to make Norway a
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, Statistics, Nautical Science, Maritime Technology, or a similar field with some sea-going experience and stronger software development experiences, and any other requirements. If you are near completion
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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