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candidate and availability of the pilot sites. The core activity of the ATLAST2 shall support Researchers, PhD candidates and Postdocs. They work in close contact with the research and user partners
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academic network and collaborates extensively with industry, especially through externally funded European research projects. Key objective of the position: To advance foundational research
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be possible, depending on the interest of the PhD candidate and availability of the pilot sites. The core activity of the ATLAST2 shall support Researchers, PhD candidates and Postdocs. They work in
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referring to statistical and system characteristics in the real world contrary to an ideal learing setting. The candidate will contribute to understanding how neural networks extract the most relevant
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The net uptake of carbon to terrestrial systems (LULUCF) in Norway is estimated to be 20-25 MtCO2e/yr or about 50% of the anthropogenic greenhouse gas emissions. However, the positive trend in the estimated
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to an ideal learing setting. The candidate will contribute to understanding how neural networks extract the most relevant information of the data to make a prediction using advanced mathematical tools
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to an ideal learing setting. The candidate will contribute to understanding how neural networks extract the most relevant information of the data to make a prediction using advanced mathematical tools
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on bio- and/or geo-diversity be hosted by at least two of NHM´s research groups enhance and/or use NHM’s physical and digital collections, ideally both Expectations of the postdoc: Carry out the project
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Fellowship at the University of Oslo. Project description The net uptake of carbon to terrestrial systems (LULUCF) in Norway is estimated to be 20-25 MtCO2e/yr or about 50% of the anthropogenic greenhouse gas
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at Centre for Space Sensors and Systems (CENSSS) at the Department of Technology Systems (ITS). Starting date no later than November 1, 2025. The fellowship period is three years. A fourth year maybe