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- NTNU - Norwegian University of Science and Technology
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Field
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requirements We are looking for candidates who meet the following requirements: Master’s degree or similar degree in Law (or in fields that include legal elements relevant to this position). We welcome
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the following requirements: Master’s degree or similar degree in Law (or in fields that include legal elements relevant to this position). We welcome candidates close to finishing their degree. Strong
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generation. AI-based performance assessment in early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent
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Data Science, Data Analysis, Computer Science, or Mathematics Strong programming skills (e.g., Python, C/C++, C#, Java, Scala or similar) Solid academic record (GPA B or higher on master’s degree and
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doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) . The project description is a key element in evaluating the applicants. It is also highly important
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distribution. Developing and applying high-throughput data analysis methods for TEM experiments. Investigating corrosion initiation and propagation mechanisms and linking them to alloy composition and processing
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distribution. Developing and applying high-throughput data analysis methods for TEM experiments. Investigating corrosion initiation and propagation mechanisms and linking them to alloy composition and processing
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Iceland (up to 6 months) and the Faroe Islands (up to one month) to conduct sampling, sample analysis and a laboratory experiment. We are looking for someone who is flexible and enjoys travelling
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of the methodology. The use of new methods and new technology is a key component of the SmartForest center for research-based innovation. The center is led by the Norwegian Institute of Bioeconomy Research and NMBU is
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for further details. About the PhD position (applies to university PhD positions): The applicant’s personal suitability for the position is a significant factor in the evaluation. Applicant whose education is