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encourage all qualified candidates, regardless of background, to apply! Job description The candidate will work on large-scale data analysis of cancer transcriptomics data (bulk, single cell and spatial), and
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and the analysis of large-scale assessment data: Methods and approaches to synthesize large data sets via meta-analyses (e.g., meta-analyses of large-scale assessment data, meta-analyses of meta
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candidate will combine methodological and substantive research. Potential methodological topics focus on meta-analyses and the analysis of large-scale assessment data: Methods and approaches to synthesize
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knowledge for precision medicine in psychiatry, building on advanced statistical methods for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological
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8th June 2025 Languages English Norsk Bokmål English English Postdoc - Computer vision for sustainable forest management Apply for this job See advertisement Key information SmartForest is a center
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decades, as well as registry data linked to multiple large surveys with longitudinal individual-level data, school-level aggregated data, and genetic data. The successful candidate is expected to use state
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existing data linkages available in CREATE. These include linkages of registry data across several decades, as well as registry data linked to multiple large surveys with longitudinal individual-level data
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the research group Seafood and Nutrition . About the project/work tasks: Over time, IMR has built up a large database (Seafood data ) on the content of nutrients and contaminants in various seafood. The aim
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tasks: Over time, IMR has built up a large database (Seafood data ) on the content of nutrients and contaminants in various seafood. The aim of this project is to develop quantitative and qualitative
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Northern Norway, Orkney and Shetland Isles, UK and undertake metabarcoding and lithological analyses of lake-sediment cores to obtain information on past vascular plant species including crops, and