626 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions in Norway
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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 will also have
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or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The appointment is a full-time position and is made for a period of three years
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a potential to contribute to the ongoing academic dialogue in the department. Applicants must be able to teach in Norwegian or a Scandinavian language in order to meet current teaching needs
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for extended research stays abroad . Qualification requirements Master's degree within Electronics Engineering, Computer Engineering or equivalent related disciplines. The degree must normally include 120
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towards the public healthcare system, and the potential consequences for health inequality and health policy conflicts. Through the project, you will acquire practical skills in survey methods and
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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 group FLUENT (FLerspråklig Utvikling og Endring i
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for a position as associate professor in Norway, NTNU will arrange for you to acquire such competence during the employment period. In such cases, you will also be assigned relevant teaching as part of
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to candidates with a potential to contribute to the ongoing academic dialogue in the department. Applicants must be able to teach in Norwegian or a Scandinavian language in order to meet current teaching needs
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AI technologies—foundation models, generative design tools, agent platforms, reasoning engines, and reinforcement learning—can be adapted and extended for maritime design challenges. The final research
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. Postdoctoral fellows who are appointed for a period of four years are expected to acquire basic pedagogical competency during their fellowship period within the duty component of 25 %. Project description and