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Signal processing and data analytics, control systems Machine learning or computer vision Product development in multidisciplinary engineering teams. Responsibility teams Exposure to globally leading
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to the Life-Cycle Initiative hosted by UN Environment, and numerous publications featured in high-ranked journals. IndEcol hosts its own International MSc program and contributes to NTNU’s engineering education
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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
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. Admission to the PhD programme For employment in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Biosciences, Fisheries and Economics and participate in organized
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on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations
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educational system Fluent oral and written communication skills in English Desired qualifications: Relevant experience in marine technology and AI will be advantageous Knowledge about high performance computing
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candidate will be admitted to the PhD programme in Science and Technology. The programme includes coursework, an independent research project culminating in a doctoral thesis, participation in national and
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. The project is funded through NTNU and is an interdisciplinary project between the Industrial Ecology Programme at the Department of Energy and Process Engineering and the Department of Neuromedicine and
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
to join SIMLab at the Department of Structural Engineering, NTNU, in the field of computational mechanics, experimental mechanics, and protective structures. The project focuses on developing next
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the upper segment of their class with respect to academic credentials. Required qualifications: Applicants must hold a Master's degree or equivalent in informatics, computer science, biomedical engineering