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mathematics, and finite element analysis. Programming experience in coding e.g. Python, or MATLAB Writing skills for research papers. Experience in applied machine learning, fault diagnosis, laboratory testing
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-promoting work. This will be clarified in the recruitment process. A career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be
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exclusively. A career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic
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the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The PhD Fellow will join the research group in risk management and
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proficient in conducting quantitative analyses. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. Alongside
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plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The appointed
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”. If you do not already have educational competence that meets the requirements for a position as associate professor in Norway, NTNU will arrange for you to acquire such competence during the employment
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acquire. Access to career guidance will be provided throughout the doctoral education. Research topic The PhD Fellow will be affiliated with the research project DEEPREAD, funded by the Research Council
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during the employment period. A career development plan will be drawn up, outlining the competencies the Postdoctoral Fellow is expected to acquire during the employment period. The Postdoctoral Fellow
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the competencies that the PhD Fellow/Postdoctoral Fellow is expected to acquire during the employment period. Access to career guidance will be provided throughout the doctoral education/postdoctoral period. The