161 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Norway
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Academically relevant background within marine control/cybernetics, computer science, or hydrodynamics, with good skills in mathematics, programming, and machine learning. Master's degree in control engineering
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team, with an interest in cross-disciplinary learning. The evaluation of candidates will place particular emphasis on personal and interpersonal qualities. We offer An exciting job with an important
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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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education sciences is theme-based and interdisciplinary. The doctorate has three main fields of study: language, literature, and history; cultural studies, art, and sports; educational research, learning
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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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”. 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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2028. The successful candidate will primarily teach and supervise students in the department’s bachelor’s and master’s programmes in Classical Languages (Ancient Greek and Latin, with an emphasis