168 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Norway
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- University of Oslo
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- NTNU Norwegian University of Science and Technology
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- CICERO Center for International Climate Research
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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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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 provided
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career-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
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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 provided throughout the doctoral education. Research
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acquire. Access to career guidance will be provided throughout the doctoral education. Research topic Applications from candidates in all fields of economics and finance are encouraged, particularly within
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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. The position is part of
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related field. Documented expertise in machine learning and time-series modelling (e.g. LSTM, XGBoost, CNN). Strong programming skills in languages such as Python and R. Experience with phenotyping data
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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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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