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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
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Millennial" is available at the University Museum , UiT The Arctic University of Norway. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is
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faculty members, 5 PhD Fellows, and 1 Researcher. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for
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. teaching duties. The department teaches in all the sub-fields mentioned above. The successful candidate will be part of the Faculty’s PhD programme. The work is expected to lead to a PhD in political science
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, multimodal or multimedia systems. Directly relevant areas are preferable Documented knowledge in machine learning methods, especially hands-on experience with time series data Documented hands-on programming
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which also include health care services . More practical information for working and living in Norway can be found here: https://uit.no/staffmobility Application Please note that the application will only
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the upper segment of their class with respect to academic credentials. Required qualifications: Master’s degree (120 credits equivalent of the Norwegian Master’s degree program) in Electrical Engineering
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for and is granted admission to the Faculty’s doctoral programme in Technology within three months of starting in the position. The doctoral programme includes relevant courses corresponding
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leading to the successful completion of a PhD degree. Successful applicants will be enrolled in the PhD programme at the University of Oslo or UiT The Arctic University of Norway. Integreat brings together