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efforts to contribute to safer marine operations, we actively explore possibilities to utilize both numerical and machine learning methods to enhance the accuracy and resolution of metocean forecasts. About
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of the position Conduct geological and rock engineering assessments to identify key parameters influencing underground structure design. Analyze existing empirical design methods and identify limitations in
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Precambrian rocks of northern Norway. The project is within the Solid Earth Sciences, Mineral Resources and Geohazards group. The position is for a period of four years. The nominal length of the PhD programme
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by developing innovative methods at the interplay between theoretical and computational aspects, within a collaborative and supportive academic environment. You will be part of a dynamic group of early
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coordination of resources, including operators, equipment, and facilities, both within and across projects. This position will bridge this gap by exploring the application of logistics methods and digital
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for education in Norway. The Department of Teacher Education at NTNU educates the teachers of our future, from primary school through upper high school, and hosts numerous and diverse research groups . The PhD
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of experimental studies and numerical simulations.Identification and assessment of safety related issues during in-situ handling of the biocarbon may be done through methods like inspections
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methods to be considered for numerical optimization by an Energy and Emission Management System (EEMS). Data-driven AI methods (e.g. Reinforcement Learning and/or Recurrent Neural Networks) to be considered
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level subject/master’s degree worth 120 ECTS in health sciences, kinesiology, or similar excellent working knowledge at master’s degree level of quantitative research methods and statistics experience
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contribute to the current teaching needs of the Faculty of Law, including the multidisciplinary master program in human rights . The purpose of the fellowship is research training leading to the successful