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- University of Oslo
- University of Bergen
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Field
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techniques which have traditionally been employed. As artificial intelligence becomes increasingly ingrained in the society, it is crucial to ensure that the machine learning algorithms not only make correct
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collaboration in optimising data analysis algorithms for the raw detector data, including improving position reconstruction and pulse-shape discrimination algorithms which can be implemented on in the front-end
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addressing any animal group, organ system, or research question within the fields of molecular physiology, comparative physiology, developmental physiology, evolutionary physiology, or animal ecophysiology
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about global and regional trends and events, including climate change, evolutionary events (radiations and extinctions), plate tectonics, and changes in geochemical cycles. The project will have a focus
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primary focus of the project, but complementary research on parallel systems may be developed. The project will add an important evolutionary component to ongoing interdisciplinary research on Arctic
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represents a broad understanding of responsible innovation, drawing upon a diverse foundation of literature, such as evolutionary economics, innovationsystems, innovation management, institutional theory
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information of the data to make a prediction using advanced mathematical tools. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust algorithms
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develops efficient and robust algorithms for realistic settings in terms of data and computing resources and collaborates to address major challenges in important applications including marine domain and
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covering topics within biochemistry, molecular biology, physiology, cell biology, genetics, aquatic biology, toxicology, ecology, and evolutionary biology. The Department also operates Finse research station
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organised in five sections covering topics within biochemistry, molecular biology, physiology, cell biology, genetics, aquatic biology, toxicology, ecology, and evolutionary biology. The Department also