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candidates to conduct research in the field of evidence synthesis. The projects will focus on the development of statistical methods for the synthesis of complex data. About the research group The new research
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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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, monitoring even the most basic snow characteristics, such as presence of snow cover or snow depth, remains challenging. Most available satellite-based and modelled snow data products, especially for snow depth
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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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organized in strategic research programs, one research center, and 49 research groups. The research program structure is currently under review. Information about the various research groups can be found
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program Arctic Ocean 2050. The successful applicant will work with zooplankton data from the High Arctic to address knowledge gaps in life history strategies, phenology and the distribution of key
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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