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...
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