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about the molecular basis underlying variation in these traits. Atlantic salmon is among the most variable vertebrates on Earth in terms of life histories, making it a powerful model to study how complex
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large datasets, and applying AI approaches (e.g. machine learning, image segmentation, multimodal AI data integration) will be considered advantageous. Strong skills in communicating scientific results
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species and vegetation ecology), advanced statistical modelling using R software, and conducting fieldwork under harsh environmental conditions. A successful applicant should have good skills in English and
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knowledge about natural resource management Knowledge of software R Strong skills and/or interest in mathematical and statistical modelling is a strength Ability to conduct field work in remote alpine areas
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of environmental modulation on gametic and early developmental epigenome and epitranscriptome. The project uses next- and third-generation sequencing technologies to generate the data. Zebrafish is a model organism
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computational skills (using R, modelling software, working on a remote linux-based server) and experience in analyzing Next Generation Sequencing data, including PCA, outlier analysis, GO-term enrichment analysis