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data, MRI data, and other types of data. Contribute to projects at LCBC with data analysis, development, and implementation of advanced machine learning models. Write and publish scientific articles
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estimators, or machine learning) or other advanced statistical modelling. Advanced programming skills in Stata, R, Python or a similar software. Strong academic background with publications in international
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of Oslo. More information can be found on https://www.lcbc.uio.no. Job description Develop quantitative models to estimate how the brain and various cognitive processes change throughout life. Process and
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event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components. About the LEAD AI fellowship programme LEAD AI is the University
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for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components
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variables, fixed effects for panel data, matching estimators, or machine learning) or other advanced statistical modelling.- Advanced programming skills in Stata, R, Python or a similar software.- Strong
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related to the sea, land, and atmosphere. The fields of study include Arctic biology, geophysics, geology, technology and safety. All teaching is conducted in English, and approximately half of the staff
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Norway less than a year), see LEAD AI mobility rules . About the project/work tasks: About the host research group and research theme We are looking for an ambitious scholar who wants to advance the field
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scholar who wants to advance the field of AI by focusing on and collaborating with one of the ongoing AI research activities in the department, including but not limited to trustworthy and responsible
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legal issues such as the rights to AI-assisted and AI-generated works and compensation for use of existing works in AI model training. In light of this ongoing transformation, it is imperative