33 parallel-computing-numerical-methods positions at UiT The Arctic University of Norway in Norway
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An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . The positions aim is to
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of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research training to the level
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The position The Department of Physics and
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Environment at the Norwegian College of Fishery Science (NCFS), with an appointment for a duration of four years. The position is for a period of four years. The nominal length of the PhD programme is three
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development of computer systems for data analysis, development of machine learning methods, and the clinical use of technology. Within the research groups you will therefore work together with computer
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Disrupted Planet ”. 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 employment, and the programme period
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Engineering . 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 (10%) and other
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diploma. Desired qualifications: Working knowledge of Norwegian or a Scandinavian language is desirable Documented expertise and experience in the following fields and methods: Working with a small-scale
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of Computer Science at UiT The Arctic University of Norway. HDL’s mission is to build and experimentally evaluate the systems, methods, and tools needed to analyze and interpret complex health datasets. The group
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collaboration with UiT’s Equality Committee and other departments. The research is organized into projects with different empirical research focuses, with feminist theory and method as a common denominator. This