32 phd-position-in-data-modeling Fellowship research jobs at University of Oslo in Norway
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professors, in addition to postdoctoral fellows, PhD students, researchers, technical- and administrative staff. The Department has around 200 employees. Questions about the position For further information
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Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see: http://www.uio.no/english/research
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Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By combining the mathematical and computational cultures, and the methodologies
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master's and PhD levels. This project is funded by a prestigious FRIPRO Grant for Early Career Scientists and is built on our ongoing Integreat project “Embedded Sufficient Statistics” . This position is
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of this position is to develop a massively parallel version of a computer code called Commander, and apply this to archival data from Planck HFI, new data from Simons Observatory, and simulated data from LiteBIRD, a
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learning Apply for this job See advertisement About the position Integreat – Norwegian Centre for Knowledge-driven Machine Learning is seeking a motivated PhD candidate in machine learning, knowledge
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gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview. We hope that you will apply for the position. More information about gender equality
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, we will invite at least one applicant from each of these categories to an interview. We hope that you will apply for the position. More information about gender equality initiatives at UiO can be found
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. To obtain experimental information under such conditions is crucial in order to constrain and improve theoretical nuclear structure models, and to understand how elements heavier than iron are formed in
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supervising students at both the master's and PhD levels. The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a scientific top position within or beyond