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foundational knowledge in signal processing and machine learning. Working knowledge of computer vision and deep learning concepts, including object detection and image-based classification, with hands
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variants, EfficientNet, ResNet, U-Net) Image processing and computer vision techniques Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with
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will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI
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models to build customized AI pipelines for tasks such as image enhancement, detection, segmentation, and robotic control. You will contribute to both the backend development (pipeline orchestration
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-vision-based quality inspection in manufacturing plants. The system will enable users to drag and drop foundational AI models to build customized AI pipelines for tasks such as image enhancement, detection