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Aleksei Tiulpin

1 week ago

Postdoc Position in Machine Learning and Medical Imaging at Weill Cornell Medicine Weill Cornell Medicine in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Weill Cornell Medicine

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Keywords

Computer Science
Biomedical Engineering
Medical Imaging
Artificial Intelligence
Preventive Medicine
Medical Science
Arthritis
Statistics
Chronic Illnes
Diagnostic Tool
Machine learning

About this position

Weill Cornell Medicine / Weill Cornell Imaging at NewYork-Presbyterian and Cornell Tech are recruiting a Postdoc for research in machine learning, medical imaging, and AI for preventive medicine.

The position is in the Intelligent Medical Systems Laboratory (IMEDS), led by Professor Aleksei Tiulpin, based at the Department of Radiology, Weill Cornell Medicine, New York City. The lab develops machine learning methods and tools for diagnostics, treatment, and scientific discovery across diseases, organs, and modalities, with special expertise in chronic non-communicable conditions such as osteoarthritis and low back pain.

Research themes highlighted by the lab include scalable methods, multimodal data analysis, trustworthy AI, and deployable healthcare technologies. The postdoc will work closely with national and international healthcare leaders and top faculty in AI and medical imaging.

Relevant study areas and keywords include computer science, medical science, biomedical engineering, statistics, machine learning, diagnostics, predictive modeling, and clinical imaging.

No funding amount, deadline, or formal eligibility checklist is stated in the post excerpt. Interested candidates should review the lab website for the full opportunity details and application instructions.

Website: https://imeds.ai

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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