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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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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
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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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emissions and economy, there is limited knowledge on how this will affect the rate of degradation of the road infrastructure. You will conduct laboratory investigations, possible field work and numerical
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Disrupted Planet ”. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period
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-erklæringen var sist oppdatert 01.08.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde
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highly motivated Doctoral Research Fellow in a full time (100 %) fixed term position available for three (3) years at the Faculty of Computer Science, Engineering and Economics, Department
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combination with multi-fidelity response models. The multi-fidelity models may include combinations of physics-based response models, Artificial Intelligence (AI) models and probabilistic methods. Your
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meet the requirements for admission to the faculty's Doctoral Programme (Phd - NTNU ) Software skills in 2D/3D technical drawing Strong theoretical background in fluid mechanics, mathematics and physics