Postdoctoral Opportunity in AI/ML for Parkinsons Disease Risk Prediction

As a postdoctoral candidate at the National University of Singapore in the research group of Dr. Seyed Ehsan Saffari, you will focus on developing and validating advanced artificial intelligence (AI) and machine learning (ML) assessment tools for Parkinson's disease risk prediction. You will have the opportunity to work with large-scale multi-center clinical datasets, merging machine learning, statistics, and healthcare. **Key Responsibilities:** - Implement machine learning models, including supervised, unsupervised, and deep learning approaches. - Conduct quantitative analysis using computational methods and programming languages such as Python and R. - Maintain a strong publication record to contribute to the field. - Collaborate effectively within a team setting and communicate excellently. - Desireable: Experience in supervising PhD students or mentoring junior researchers. **Qualifications Required:** - PhD in Statistics, Machine Learning, Computer Science, or a closely related field. - Demonstrated experience in implementing machine learning models. - Proficiency in quantitative analysis, computational methods, and programming (e.g., Python, R). - Strong publication record. - Excellent communication skills and ability to work collaboratively in a team setting. - Experience supervising PhD students or mentoring junior researchers is desirable. The initial appointment for this position is 1 year, with potential extension based on funding availability. You will receive a competitive salary and benefits package, including a housing allowance and medical insurance. Additionally, funding support is provided for international conference and workshop attendance. You will have access to a dynamic and collaborative research environment with professional development opportunities. Interested candidates should submit a CV and cover letter to ehsan.saffari@duke-nus.edu.sg with the subject line: [Your Family Name]-Postdoc-DUKETTSH-PD-AI.,