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the project Con-TEki investigates the role of transposable elements (TEs) as drivers of regulatory innovation in conifers (Norway spruce and Scots pine), contrasting outcomes with an angiosperm (aspen
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nanomaterials, specifically carbon dots, derived from plant-based resources, to replace non-sustainable incumbents in light-emitting applications, such as rare-earth-based phosphors and heavy-metal-based quantum
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. They will also lead the analysis of the resulting data and the writing of manuscripts targeted at major journals. The research will be generously funded through a 5-year grant from the Wallenberg Scholars
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analysis of existing health records, risk factors, and genetic data, as well as preparing research manuscripts for international peer-reviewed journals. You will work with statistics, data processing, and/or
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and practical skills in the field of data science, especially multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability