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1st October 2025 Languages English English English Postdoctoral researcher in ice sheet modelling Apply for this job See advertisement About us The Department of Climate is part of the NORCE Climate
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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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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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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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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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deficiencies may impact neural development and transcriptomics in rodent models. The selected candidate will be hired at the University of Oslo and join a collaboration at the Nordic EMBL Partnership institutes
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Biology and Systems Neuroscience to study how sleep deficiencies may impact neural development and transcriptomics in rodent models. The selected candidate will be hired at the University of Oslo and join a