Rachel Buckley
1 month ago
Postdoctoral Opportunity in Machine Learning and Multimodal Prediction for Alzheimer’s Disease Risk Mass General Brigham in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Country
United States
University
Mass General Brigham Incorporated

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About this position
Mass General Brigham / Harvard Medical School is advertising a postdoctoral opportunity in machine learning, deep learning, and multimodal prediction for Alzheimer’s disease risk.
The position is within the Buckley Lab and the Harvard Aging Brain Study Data & Informatics Team. The project focuses on applying quantitative and computational methods to rich longitudinal biomedical data, making it a strong fit for candidates with training in computer science, applied mathematics, bioinformatics, biostatistics, engineering, computational neuroscience, or related areas.
Applicants do not need prior experience in Alzheimer’s disease, although that background is considered helpful. The post emphasizes strong technical expertise, teamwork, and curiosity.
To apply, prepare a CV and a 1-page cover letter explaining your technical skills, career goals, and why this specific postdoctoral role is a good fit. The post also mentions an attached PDF with additional details.
This is a postdoc opening; no PhD or master’s call is indicated. No deadline, funding details, or direct application link are provided in the post.
Funding details
Available
What's required
Strong quantitative training in computer science, applied mathematics, bioinformatics, biostatistics, engineering, computational neuroscience, or a similar field. Background in Alzheimer’s disease is helpful but not required. Applicants should have strong technical expertise, a teamwork ethic, and curiosity. Submission materials requested are a CV and a 1-page cover letter describing technical skills, career goals, and fit for the position.
How to apply
Send a CV and a 1-page cover letter to the contact for this postdoctoral opportunity. Review the attached PDF for more details before applying.
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