This opportunity seeks development of robust denoising methods that adapt to varying noise characteristics and work effectively across data types (e.g., audio, image, sensor signals). Projects should demonstrate high adaptability, strong performance in real-world noisy conditions, and generalizability across modalities. Emphasis is on practical, reliable algorithms that improve signal quality …