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Master’s degree in statistics, data science, machine learning, mathematical modeling, or similar area. Previous experience in working with Bayesian models and their computation and experience in ecological
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artifacts. Experience with 3D image data analysis and 3D image visualization. Experience with machine learning or deep learning-based segmentation algorithms. Experience with statistical analysis to interpret
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of living together, in this position with reference to migration-related diversity. The position contributes to advancing methodological innovation through the creative and reliable use of machine learning
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, including how DNAme potentially drives trait variation and how it responds to the environment. We will use machine learning tools to perform high-throughput phenotyping of birch leaves – specifically stomatal
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. Experience with machine learning or deep learning-based segmentation algorithms. Experience with statistical analysis to interpret quantitative image data and generate biological insights. Experience in