58 machine-learning-phd "ETH" Fellowship positions at UiT The Arctic University of Norway
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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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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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Stig Brøndbo 4th June 2024 Languages English English English Faculty of Science and Technology PhD Fellow in deep learning for spatio-temporal medical image analysis Apply for this job See
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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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deep learning. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other
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Torbein Kvil Gamst 28th May 2024 Languages English English English Faculty of Science and Technology PhD Fellow in the intersection of information theory and deep learning Apply for this job See
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at improving and refining present AI classification methodology using novel combinations of statistical methods and Deep Learning (DL). The position is for a period of four years. The nominal length of the PhD
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at the Department of Mathematics and Statistics , Faculty of Science and Technology in machine learning for graphs and time series data. The position is a fixed term position for a duration of 2,5 years. Appointment
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Stig Brøndbo 2nd May 2024 Languages English English English Faculty of Science and Technology Postdoctoral Research Fellow in Machine Learning for graphs and time series data Apply for this job See
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The position A PhD position is available at the Department of Community Medicine , The Faculty of Health Sciences with the research group Systems epidemiology in the field of environmental epidemiology