12 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Here-We-Are" positions at Norwegian University of Life Sciences (NMBU)
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systems. By combining microclimate modelling, remote sensing data, and data-driven methods, the results are integrated into a Digital Twin framework. The research will support predictive risk assessment and
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three-year PhD–positions related to use of AI for mapping of forest ecosystems. New sensors and increased digitalization generate vast quantities of data that together with advanced statistical methods
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of benchmarking Develop necessary hardware and/or software capabilities relevant to the topic Collect necessary data Perform various experiments to document system development and benchmark against performance
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attachments. Main tasks Conduct field experiments and collect data Perform various analyses of collected data, data from former experiments under controlled conditions or in the field, molecular genotyping data
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associated analyses Process research data and publish findings as scientific publications and a PhD thesis. Complete mandatory courses for the PhD programme. Present and discuss research at internal seminars
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for PFAS for Norwegian conditions. The data from the PhD-student will focus on the understanding of uptake mechanisms of PFAS and lay the foundation for the risk assessment that will primarily be done
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, energy production and transmission, construction of data centres and various other forms of infrastructure. More projects of this kind will be needed if aiming at continuing to follow the prevailing socio
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the grazing season—information that may offer practical and economic benefits to both society and industry. The focus of the PhD position is twofold. First, the candidate will quantify enteric methane emissions
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Master’s degree in a relevant scientific field, such as soil science, environmental science/chemistry, ecology, or agronomy. Strong academic record in statistics and data analysis. The following experiences
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. The PhD candidate will carry out a PhD project that involves preparing a project plan, conducting literature search, collecting and analysing data, and writing a PhD thesis. The PhD candidate receives