378 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Norway
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- University of Oslo
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- NTNU Norwegian University of Science and Technology
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- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
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solvers, with the goal of exploiting models of various complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned) representations. In particular, we
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Fellow should acquire. UiO is responsible for following up on the career plan and ensuring that the Postdoctoral Fellow has access to career guidance throughout the postdoctoral term. If the Postdoctoral
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measurement quality issues related to respondent non-compliance in ecological momentary assessment or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models
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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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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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limited to these topics, but preference can be given 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
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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
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equivalent education in climate dynamics, meteorology, oceanography, applied mathematics, physics, computer/data science or related fields or must have submitted his/her master's thesis for assessment prior
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methods will be advantageous: Microbiological techniques, as well as computer-based analysis Molecular biology techniques Analysis of high-throughput datasets (DNA seq, microbiological data, competitive