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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood
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, technology and society using frameworks and methods from Science, Technology & Society (STS), history, philosophy, anthropology, critical theory, and the arts. We privilege interpretive, qualitative methods
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experimental methods. Develop and apply methods for demultiplexing, normalization/QC, effect-size estimation, biological inference, and predictive modeling. Contribute to biological manuscripts and methods
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