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operate sophisticated microscopic and fluidic systems for data production and run custom computer algorithms for 3D image registration, fluorescent signal detection, cell/clone segmentation, and annotation
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completeness relevant to abdominal imaging and cancer detection projects. Execute basic medical image analysis tasks under supervision, which may include anatomical segmentation on imaging studies like
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French National Institute for Health Research (INSERM) | L'Haÿ-les-Roses, Île-de-France | France | 16 days ago
should have experience in quantitative biology and/or bioinformatic analysis, including: Image analysis (cell segmentation, tracking, morphometry analysis) Spatial transcriptomics Single-cell
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desirable. Familiarity with AI/ML-based approaches for image reconstruction, segmentation, or quantitative data analysis is considered a merit. As a person you are curious, self-driven, flexible
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approaches for image reconstruction, segmentation, or quantitative data analysis is considered a merit. As a person you are curious, self-driven, flexible, communicative, and dedicated to teamwork. You have
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for risk prediction and treatment optimization, AI for image reconstruction, segmentation, and disease detection; application of machine learning and computational methods toward biomaterial, drug, or
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, medical-image metadata, and clinical imaging workflows. Experience with image classification, segmentation, temporal modeling, representation learning, multimodal learning, or clinical prediction
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will involve data collection, management, and analysis, including image segmentation, spectral analysis, multi-parametric cohort analysis, building and training predictive models, and the translational
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Pattern Recognition (CVPR), 2016. [8] TorchVision / PyTorch documentation, ResNet-18 and ResNet-50 Model Architectures. [9] Ultralytics, YOLOv8 Real-Time Object Detection and Image Segmentation
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two-photon imaging data analysis, including image registration, motion correction, segmentation and signal extraction, quality control, longitudinal tracking where appropriate, and quantitative