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AI-Powered Image Analysis - Livestream starting Dec 2, 2025 (UTC) Join a one-day, hands-on workshop on AI-powered image analysis led by Nikolay Oskolkov (Group Leader/PI, LIOS) designed for PhD students, professors, and professional researchers who need to turn microscopy and clinical images into reproducible, publication-ready measurements. You’ll get rigorous theory plus live coding in Jupyter on Linux, ChatGPT-assisted Python notebooks, and practical end-to-end pipelines covering CNNs, transfer learning, UNet and Mask R-CNN segmentation, object detection, classical OpenCV preprocessing, uncertainty quantification, model interpretability (GRAD-CAM), and best practices for data management, evaluation, and reproducible reporting. By the end of the workshop you will be able to build, train and evaluate segmentation and detection models on real biological datasets, apply augmentation and fine-tuning for small datasets, quantify and interpret uncertainty, and package analyses into reusable Jupyter workflows suitable for theses and peer‑reviewed papers. Live sessions are streamed via Zoom, all recordings and materials are available for 30 days after the seminar, a monitored Q&A forum will be open for follow-up questions, and participants receive an Instats certificate of completion (ECTS-equivalent points shown for European students where applicable). Register or contact us to learn more and reserve your spot. #ComputationalBiology #DataAnalytics #DataScience #MachineLearning #BiomedicalEngineering #Bioinformatics #ComputerScience #ChatGPT #Jupyter #Linux #Python #R #Research #ResearchTraining #Instats https://instats.org/seminar/ai-powered-image-analysis?utm_source=bluesky