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The successful candidates will work at the machine learning group at UiT and will formally be affiliated with the Department of Mathematics and Statistics and collaborate closely with researchers at the Department
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Description The position A PhD position in machine learning for graphs and time series data is available at the Department of Mathematics and Statistics , Faculty of Science and Technology . The position is
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studentship affiliation The successful candidates will work at the machine learning group at UiT and will formally be affiliated with the Department of Mathematics and Statistics and collaborate closely with
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-driven machine learning, is seeking to recruit a fulltime PhD student at the UiT The Arctic University of Norway for a cross-disciplinary project across machine learning, statistics and logic, which is
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approximately 500 employees at the Department of Electrical Engineering and Computer Science, Department of Structural Engineering and Materials Science, Department of Mathematics and Physics, Department
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lack of data is easing. Hence, Artificial Intelligence (AI) techniques such as Machine Learning can be applied for power distribution network analysis to create improved observability and implement
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Intelligence (AI) techniques such as Machine Learning can be applied for power distribution network analysis to create improved observability and implement proactive operational measures such as activation
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/data assimilation/machine learning methods/data-driven modelling/stochastic models Programming skills and high-performance computing and parallel programming Emphasis is also placed on your: motivation
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statistically significant data. Explore machine learning algorithms in the analysis of the measurement data, in order to develop AI tools for structural health monitoring applications. Use the measurement data