Postdoctoral Opportunity in AI/ML for Parkinsons Disease Risk Prediction

0 - 4 years

0 Lacs

Posted:2 weeks ago| Platform: Shine logo

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Job Type

Full Time

Job Description

A postdoctoral position is available at the National University of Singapore in the research group of Dr. Seyed Ehsan Saffari, Assistant Professor. The focus of the position is on developing and validating advanced artificial intelligence (AI) and machine learning (ML) assessment tools for Parkinson's disease risk prediction. The successful candidate will be involved in working with large-scale multi-center clinical datasets, integrating machine learning, statistics, and healthcare. The ideal candidate should hold a PhD in Statistics, Machine Learning, Computer Science, or a related field. They should have demonstrated experience in implementing various machine learning models, such as supervised, unsupervised, and deep learning approaches. Proficiency in quantitative analysis, computational methods, and programming languages like Python and R is required. A strong publication record and excellent communication skills are essential. The ability to collaborate effectively in a team setting is also important. Experience in supervising PhD students or mentoring junior researchers would be an advantage. The initial appointment for this position is for 1 year, with a possibility of extension based on funding availability. The successful candidate will receive a competitive salary and benefits package, which includes a housing allowance and medical insurance. Funding support will be provided for attending international conferences and workshops. Additionally, the candidate will have access to a dynamic and collaborative research environment with opportunities for professional development. Interested candidates are required to submit a CV and cover letter to ehsan.saffari@duke-nus.edu.sg. When applying, please use the subject line: [Your Family Name]-Postdoc-DUKETTSH-PD-AI. Get the latest job openings in your field and preferred country straight to your email inbox by signing up for a 14-day free trial at https://phdfinder.com/register.,

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