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qualifications: Strong background in planetary geophysics and impact processes Working knowledge of modern theories of terrestrial planet formation All candidates and projects will have to undergo a check versus
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and fabrication constraints Integrate autonomy stacks (perception, learning, planning) in the co-design process and run experiments across classes of environments (e.g., forests, industrial facilities
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four years in the Norwegian educational system Documented experience in computer networks especially in mobile networks and/or edge-cloud continuum Document knowledge about the system performance
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Signal Processing and Image Analysis group (DSB), Section for Machine Learning, at IFI. DSB has seven full-time and five adjunct positions and carries out research across image analysis and machine
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are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. The position is in the Digital Signal
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of MishMash is to create, explore, and critically reflect on artificial intelligence for, through, and in creative practices. Participants in MishMash will examine the impact of AI on creative processes
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temperature. 6. Project: Early atmospheric evolution of Venus, Earth, and Mars (S.C. Werner, T.H. Torsvik) Explore which geophysical processes (interior processes, magnetic dynamo, tectonics, atmospheric
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) and in the Extract, Transform, and Load (ETL) process of data management. Experience working within (perinatal) pharmacoepidemiology and/or Nordic health care registry data. Oral and written
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processes and how memory dysfunction arises in disease. This project aims to advance our understanding of neural codes for time and their relation to memory deficits in patients. The project combines
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. Relevant tasks may be a combination of: Synthesis and processing of functional oxides using solid-state methods and hydrothermal synthesis Microstructural engineering of polycrystalline materials (e.g. grain