Publisher
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Aix-Marseille University

Postdoc in AI, Computer Vision, and Clinical Oncology in Dermatology Aix-Marseille University in France

Degree Level

Postdoc

Field of study

Oncology

Funding

3-year postdoc position. No stipend amount or tuition details mentioned.

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Country

France

University

Aix-Marseille University

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Keywords

Oncology
Computer Science
Dermatology
Biomedical Engineering
Medical Imaging
Deep Learning
Biology
Artificial Intelligence
Computer Vision
Medical Science
Melanoma
Explainable Ai
Multi-task Learning
Statistics
ML

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About this position

Postdoctoral position available for 3 years in Marseille, in the south of France, within an interdisciplinary environment connecting artificial intelligence and clinical oncology.

The project sits at the intersection of computer science, computer vision, machine learning, deep learning, multimodal learning, transformers/attention models, explainable AI, and medical imaging, with strong relevance to dermatology, skin cancer, melanoma, and related clinical research.

Applicants should hold a PhD in Computer Science, Computer Vision, or Machine Learning, and have strong hands-on experience with PyTorch/TensorFlow and related AI methods. Fluent English is required; French is helpful but not mandatory.

The post is described as offering international collaborations and strong publication potential. To apply, send your CV, cover letter, publication list, and contact details to the listed contacts, and review the linked offer page for the full announcement.

Funding details

3-year postdoc position. No stipend amount or tuition details mentioned.

What's required

A foreigner PhD in Computer Science, Computer Vision or Machine Learning is required. Strong experience in deep learning (PyTorch/TensorFlow), multimodal learning, transformers/attention models, explainable AI and/or medical imaging is expected. Fluent English is required; French is a plus but not required.

How to apply

Send your CV, cover letter, publication list, and contact details by email to Rabah Iguernaissi and Jilliana Monnier. You can also consult the linked offer page for details.

More information can be found here

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