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project quantifying plant anatomical diversity, the developmental processes that generates this diversity, and how this anatomical diversity influences biomechanical properties. The ideal candidate will
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-lyon.fr Requirements Research FieldEngineering » Biomedical engineeringEducation LevelPhD or equivalent Skills/Qualifications Educational background: PhD in Biomedical engineering, Optical Imaging/Physics
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profile PhD in Computer Science, Data Science, Machine Learning, or a related discipline. Proven experience in computer vision (e.g. image processing, deep learning, object detection, segmentation) and
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fibrosis. Together with the department of surgery, focusing on vascular surgery, we aim to to ulitse high-throughput biomaterial screening to identify the optimal physicochemical surface properties
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FieldBiological sciencesYears of Research ExperienceNone Additional Information Eligibility criteria - stereotactic surgery in rodents - two-photon imaging - analysis using Python and MatLab - scientific writing
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#EnvironmentalToxicology #Nanotoxicology #BehaviouralAssays #Imaging #DataAnalysis Overview The Alfaro-Moreno Research Group is laboratory dedicated to excellence in scientific research on developing methods to assess
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team for sample processing and wetlab assay optimization Data interpretation and reporting for drug screens on individual patients Your profile What you bring for this position: PhD in a relevant subject
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on the provision of the critical and strategic raw materials required for the green transition. The research group will comprise 13 members from senior research fellows to PhD students, involves field sites on four
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Sensing, Geospatial Science, Environmental Science, Data Science, or related field. Strong background in remote sensing data analysis, image processing, and geospatial analysis. Experience working with
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pediatric AML Development of advanced computer vision models for pipeline improvements: https://doi.org/10.1016/j.xcrm.2025.102304 Multi-omics analysis including high-throughput data from image-based drug