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project funded by the sustainability initiative at UiO. The project will provide a fundamental understanding of droplet flow on single and complex fiber networks. Essential to the project is the development
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opportunity for physical activities within working hours Salary PhD Research Fellow (code 1017): NOK 550 800 a year. Further promotion will be based on time served in the position. A statutory contribution to
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, and collaborative international working environment that values diverse perspectives Access to a strong network of top-level national and international collaborators Research mobility funds supporting
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the following criteria will be emphasised: submitted scientific work and your personal skills for completing the project within the time frame international experience and network qualifications within the areas
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welfare benefits in the State Pension Plan . Opportunity for physical activities within working hours Salary PhD Research Fellow (code 1017): NOK 550 800,- a year. Further promotion will be based on time
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The position is fully funded and based at NHM’s interdisciplinary and highly international research group Evolution, eDNA, Genomics and Ethnobotany (EDGE) . Opportunities for networking across evolutionary
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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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realistic settings 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
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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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both practical and theoretical philosophy, and active research networks in ethics, political philosophy, environmental philosophy, and feminist philosophy. These interests come together in our research