Opportunity Description
Key Responsibilities:
Methodology Development: Design and develop advanced generative AI models, specifically leveraging Transformer and Diffusion-based architectures, tailored for healthcare applications. Analytical Frameworks: Develop and apply rigorous analytical tools to evaluate model performance, safety, and utility within a healthcare context.Clinical Collaboration: Partner with stakeholders across Singapore health systems to translate theoretical models into functional tools for clinical settings.Requirements:
PhD in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field with a focus on Machine Learning/AI.Experience with working with different data types from healthcare settings (text, imaging, video data) is a plus. Expertise with Python and deep learning frameworks (e.g., PyTorch, TensorFlow).Demonstrated experie...
Full-Time
Mathematical Science Occupations