Publisher
source

Khalifa University

Postdoctoral Fellow in Medical Imaging AI at Khalifa University Khalifa University in United Arab Emirates

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral fellow position. No stipend amount or detailed funding package is stated.

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Country

United Arab Emirates

University

Khalifa University

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Keywords

Computer Science
Biomedical Engineering
Information Technology
Medical Imaging
Deep Learning
Artificial Intelligence
Natural Language Processing
Computer Vision
Medical Science
Multi-task Learning

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About this position

Postdoctoral Researcher/Fellow opportunity at Khalifa University in Abu Dhabi, United Arab Emirates, focused on Medical Imaging AI.

The project sits at the intersection of Computer Science, Artificial Intelligence, Deep Learning, Computer Vision, Multimodal Learning, Vision-Language Models, NLP, and medical imaging. The researcher will contribute to developing multimodal medical imaging models, experimental validation, and high-impact publications.

Preferred background includes a PhD in Computer Science, Machine Learning, or AI; hands-on experience with deep learning and model training/evaluation; and prior work in computer vision, multimodal AI, VLMs, or NLP. Medical imaging experience is especially valuable, and publication experience is preferred.

This is a full-time postdoctoral fellow role with a start date as soon as possible. The post does not mention a stipend amount or other funding details.

To apply, use the linked application page and submit your materials promptly.

Funding details

Full-time postdoctoral fellow position. No stipend amount or detailed funding package is stated.

What's required

PhD in Computer Science, Machine Learning, or Artificial Intelligence; strong experience in deep learning, computer vision, multimodal learning, vision-language models, or NLP; experience training and evaluating AI models; medical imaging experience is highly valuable; relevant publication experience is preferred.

How to apply

Use the provided application link to apply online. Review the post carefully and submit your application as soon as possible, since the start date is listed as immediate.

More information can be found here

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