4 of 4 Feature Extraction Jobs in Cambridgeshire

vision techniques, including object detection (YOLO, SSD, Faster R-CNN), image segmentation (U-Net, Mask R-CNN), image classification (VGG, ResNet, Inception, EfficientNet), and feature extraction (SIFT, SURF, ORB). Experience with various machine learning techniques (including fully supervised, unsupervised, self-supervised, and weakly supervised learning) and specific More ❯

including AI/ML, embedded firmware, hardware, and clinical research to ensure cohesive system integration. Define and enforce best practices around data quality, filtering, feature extraction, and signal classification in both R&D and production environments. Support clinical trials by advising on signal fidelity, data labelling, and performance More ❯

including AI/ML, embedded firmware, hardware, and clinical research to ensure cohesive system integration. Define and enforce best practices around data quality, filtering, feature extraction, and signal classification in both R&D and production environments. Support clinical trials by advising on signal fidelity, data labelling, and performance More ❯

including AI/ML, embedded firmware, hardware, and clinical research to ensure cohesive system integration. Define and enforce best practices around data quality, filtering, feature extraction, and signal classification in both R&D and production environments. Support clinical trials by advising on signal fidelity, data labelling, and performance More ❯