385 engineering-"https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions in Norway
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of Computer Science, Norwegian University of Science and Technology (NTNU). The position offers the opportunity to work on cutting-edge research at the intersection of deep learning and computer systems. The successful
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on a daily basis. The appointment is carried out in accordance with the principles of the State Employees Act , and Export control (legislation that regulates the export of knowledge, technology and
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opportunities? Do you have a background in electrical power engineering, operations research, or a related field, and are you interested in energy systems and markets? As a PhD candidate with us, you will work
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience in one or more of the following research areas is desirable: geometric numerical integration
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world The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life. Department of Music We conduct research and teach in
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You must have a relevant Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or other relevant disciplines. Your course of study must correspond to a five-year Norwegian
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and Movement Science. This interdisciplinary group includes movement scientists, physiotherapists, engineers, physicians, and technical staff. As a postdoctoral fellow, you are expected to lead and
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: A Master’s degree equivalent to a Norwegian five-year Master’s degree in a relevant technical or natural science field, such as materials science, biomaterials, mechanical engineering, solid mechanics
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structural and physicochemical properties for bone regeneration Develop, characterize, and validate a biodegradable ultra-pure nanocellulose for incorporation into tissue-engineered bone constructs Evaluate
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economy of technology, to inform ethical frameworks (or similar), governance, policy, and/or professional development in learning contexts, with particular attention to the conditions for individual and