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observations - including ground - and drone - based measurements - along with satellite data, into land - surface and boundary - layer models, drawing on the department’s unique infrastructure of eddy flux
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- identifying which measurements are most informative and guiding where, when and how to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make
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for the project. The post-docs will be encouraged to participate in the group’s regular activities, such as reading groups, workshops, and lectures. The large-scale project ‘Modelling Human Happiness ’ focusing
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are invited for a 3-year postdoctoral position financed by an Eranet program to investigate the impact of childhood adversities on adulthood psychopathology in a rodent model using in vivo electrophysiology
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reading groups, workshops, and lectures. The large-scale project ‘Modelling Human Happiness ’ focusing on ancient eudaimonism, is also currently hosted by IFIKK. The purpose of a postdoctoral position is
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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
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://www.lcbc.uio.no. Job description Develop quantitative models to estimate how the brain and various cognitive processes change throughout life. Process and analyze data from multiple sources, including behavioral
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, contributing to knowledge development and education, that promote sustainable, fair, and knowledge-based societal development. Committed colleagues in a good working environment. Good welfare schemes. A
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Pension Fund. Exciting and meaningful tasks in an organization with an important societal mission, contributing to knowledge development and education, that promote sustainable, fair, and knowledge-based