141 machine-learning-"https:"-"https:"-"https:"-"https:" Fellowship positions in Norway
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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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special education majors (speech and language therapy, hearing, language and communication, specific learning difficulties, psycho-social difficulties, and neurodevelopmental disorders) at the Master’s
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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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the department. Applicants must be able to teach in Norwegian or a Scandinavian language in order to meet current teaching needs. Applicants with little or no prior pedagogical competence will be encouraged
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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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Learning in Complex Systems, SFI CELECT and the Industrial Research School in Complex Systems, INRESCOS , collaborating with researchers across USN, NTNU, and the University of Agder. The position is funded
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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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to acquire during the employment period. The Postdoctoral Fellow will also have access to career guidance throughout the postdoctoral period. The qualifying project will be carried out at the University