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of Oslo. The position forms part of the European Research Council-funded Starting Grant project "Ethics of Mortality Measurement" (ETHME), which will consist of Principal Investigator Carl Tollef Solberg
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), University of Oslo. The position forms part of the European Research Council-funded Starting Grant project "Ethics of Mortality Measurement" (ETHME), which will consist of Principal Investigator Carl Tollef
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Trondheim, and the University of Oslo (UiO). It focuses on the physics of porous media using experimental, theoretical and computational methods. It is led by 8 principal scientists from physics, chemistry
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hold a master's degree or equivalent education in informatics, mathematics, physics or engineering. Master students can apply provided they complete their final master exam before 31.08.2024. It is a
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and a strong documented background in mathematics is needed. Special emphasis will be given to candidates with prior experience in the above-mentioned topics. This position requires a Norwegian master's
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documented background in mathematics is needed. Special emphasis will be given to candidates with prior experience in the above-mentioned topics. This position requires a Norwegian master's degree in physics
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Africa. The candidate will be supervised by an international team of researchers from the University of Bergen (Dr. Desiree Roerdink, main supervisor), Utrecht University (Prof. Paul Mason) and Naturalis
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international journals. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in informatics, mathematics, physics or engineering. Master students can apply provided
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mathematics education are also relevant, such as technology, programming, and algorithmic thinking in mathematics. Qualifications and personal qualities: Applicants must have obtained a master's degree in
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financed by the RCN (Research Council of Norway) funded project “RELAY: Relational Deep Learning for Energy Analytics ”. The main focus of the research will be to advance the state-of-the-art of machine