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page to watch video, or click here to open video) About the position Embankment Dam Safety under Flexible Hydropower Operation: Internal Erosion and Filter Performance About the position The Department
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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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computation, probabilistic machine learning, latent-variable models, unsupervised learning, or matrix and tensor factorization is an advantage. Experience with computational methods for large or high
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utilize low-grade waste heat. The project aims to develop methods for the design, optimization, and operation of integrated systems that maximize both economic performance and environmental benefits
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16 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme Engineering You must have high proficiency in both written and oral English We can not
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leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and
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, unsupervised learning, or matrix and tensor factorization is an advantage. Experience with computational methods for large or high-dimensional datasets is an advantage. Experience with biomedical applications is
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October 1, 2026. Subjects include Geochemistry, Environmental science, Earth science/geology, Hydrology, Environmental engineering, or a closely related field. Admission to the doctoral program at
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artificial intelligence to theoretical computer science. The department also hosts several high impact research groups that cover competencies relevant to the Norwegian industry such as the NorwAI and OpenAI