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, the candidate will develop new computational strategies to identify human genetic variation linked to cell fate changes in neurodevelopmental disorders and cancer. The candidate can use and combine single-cell
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genetic drivers of individual variation in woodland phenology across temperate and boreal habitats. This multidisciplinary project combines fieldwork, remote sensing (camera and drone-based imagery), and
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date in August/September 2025. The successful candidate will join an exciting research project to understand the ecological and genetic drivers of individual variation in woodland phenology across
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integrate machine learning algorithms and Earth System Models to emulate carbon processes in the ocean connected to the biological activities. You will be enrolled in DTU’s Section for Oceans and Arctic and
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inaccuracy, irregular sampling grids, variations in measurement conditions, and other measurement uncertainties. The successful candidates should have excellent grades, strong mathematical and simulation
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this project, the candidate will develop new computational strategies to identify human genetic variation linked to cell fate changes in neurodevelopmental disorders and cancer. The candidate can use and combine
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range of genomic analyses of individual and pooled resequencing data. The position will focus on understanding the molecular basis of phenotypic variation. Projects investigate how interactions between
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sea conditions over different time and space scales, investigating how wind farm yields may be impacted by proximity of neighbouring wind farm clusters, and understanding different kinds of extreme
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international network and cooperate with research partners, public authorities, industry, and NGOs. We have state-of-the-art research facilities and Denmark’s only ocean- and arctic-going research vessel
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this project, the candidate will develop new computational strategies to identify human genetic variation linked to human diseases in particular psychiatric disorders and cancer. The candidate can use and