
Medical Imaging Analyst
2 days ago
The Lee Kong Chian School of Medicine trains doctors who put patients at the centre of their care.
Established in 2010, it aims to be a model for innovative medical education and a centre for transformative research.
With a focus on precision medicine and AI in healthcare, graduates will have a strong understanding of the scientific basis of medicine.
We are looking for a Research Fellow to conduct AI for medicine research. The role will focus on developing foundation models to medical image analysis. Foundation models offer a scalable and adaptable solution for medical image analysis by learning generalizable representations from large datasets.
- Conduct research on foundation models for medical image analysis, including MRI, CT, X-ray, and endoscopy.
- Ensure all research activities comply with ethical standards and patient data privacy regulations.
- Support research grant preparation, including literature reviews and preliminary data collection.
- Contribute to research outputs, such as manuscript writing and participation in local and international conferences.
- Supervise and mentor undergraduate and PhD students, as well as junior research staff.
Developing foundation models for medical image analysis requires expertise in deep learning algorithms and frameworks like PyTorch and TensorFlow.
Research experience in medical image analysis using deep learning algorithms is essential.
CollaborationCollaborating with interdisciplinary teams is crucial to ensure the developed AI models are accurate, safe, interpretable, clinically applicable, and ethically deployed.
Key Competencies and Qualifications:Qualifications- PhD degree in Artificial Intelligence, Computer Science, or a related field from a prestigious institution.
- Good written and oral communication skills.
- Proficiency in developing deep learning models using frameworks such as PyTorch and TensorFlow.
- Strong track record in machine learning, computer vision, and medical image analysis.
- Familiar with effective strategies for addressing data scarcity, class imbalance, and domain shift in machine learning.
- Interpersonal skill, ability to work independently and develop solutions under strict timelines.
Entry-level candidates are welcome to apply.
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