Predoc ML Researcher: Privacy-Preserving Federated Learning

A leading research institution is seeking a Predoctoral Appointee in Machine Learning to develop and evaluate innovative Privacy-Preserving Federated Learning (PPFL) techniques for biomedical applications. The role includes working within a multidisciplinary environment, creating algorithms for multimodal data, and extensive collaboration with top scientists. Applicants must have a recent master's degree in related fields, programming proficiency in Python, and strong analytical and communication skills. This full-time position offers a competitive salary within a broad range and comprehensive benefits. #J-18808-Ljbffr