Not specified, but likely onsite due to the nature of the research and collaboration with clinicians.
Proficiency in python programming
Experience with deep learning models
Background in biomedical engineering or computer science
The National University of Singapore is seeking a Research Assistant to help develop advanced echo foundation models for personalized cardiac digital twins, focusing on AI and cardiac sciences. The ideal candidate will possess a relevant degree, strong programming skills, and a collaborative mindset, with opportunities for publication in prestigious journals
Job Summary
The role focuses on developing advanced echo foundation models to create personalized virtual heart models for patients.
Candidates will design and benchmark deep learning models for cardiac mesh reconstruction and functional simulation from echo images.
The position involves collaborating with clinicians to translate AI tools into actionable clinical insights and publishing research in top-tier venues.
Matching Summary
Match Score: 85
The National University of Singapore is seeking a Research Assistant to help develop advanced echo foundation models for personalized cardiac digital twins, focusing on AI and cardiac sciences. The ideal candidate will possess a relevant degree, strong programming skills, and a collaborative mindset, with opportunities for publication in prestigious journals.
Skills & Requirements
Must-have
Proficiency in Python programming
Experience with deep learning models
Background in biomedical engineering or computer science
Nice-to-have
First-authored publication in top-tier journals
Strong problem-solving abilities
Enthusiasm for AI in healthcare
Key Requirements
Recognized degree in biomedical engineering, CS, data science, or related field
Proficiency in Python and C++ programming languages