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address this challenge using advanced experimental techniques, numerical simulations, and machine learning methods to develop high-fidelity 3D renderings of deformed samples during physical tests. By
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composites. You will combine experimental methods and computational modeling to push the boundaries of advanced manufacturing. Along the way, you will acquire expertise to build a foundation for a future
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streaming data Personal characteristics Be willing to acquire new knowledge quickly, and to use existing knowledge in new ways Be able to conduct independent activities and thinking, but also enjoy working in
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to your work duties after employment. Required selection criteria You must have a professionally relevant background in algorithms, machine learning, database systems, or data mining, with a research
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interest in learning advanced C++ programming, since a successful study will rely on being able to use the OpenFOAM library in an advanced manner. If you have a master’s degree within applied/numerical
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that can cooperate in interdisciplinary team good analytical and critical thinking skills genuine interest in research and willingness to learn Emphasis will be placed on personal qualities. We offer
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project A PhD position has two primary goals. For one, you will learn how to do scientific research of high international standards, which shall lead to the award of a PhD degree. Second, you will produce
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and experience, as well as personal suitability for this position which include: Willingness to learn new fields and adapt to a multidisciplinary research environment. Strong motivation to excell in a
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be NOK 536 200 per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary. The employment period is 3 years. If learning
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the salary. The employment period is 3 years. If learning Norwegian (level A2 corresponding to at least 15 credits) is to be completed before the end of the employment period, the employment period can be