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University of Bern

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Postdoc in Multimodal AI for Whole-Body PET/CT University of Bern in Switzerland

Degree Level

Postdoc

Field of study

Computer Science

Funding

Fully funded for three years. The position includes scientific freedom, access to more than 14,000 PET/CT examinations, and GPU computing support.

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Country

Switzerland

University

University of Bern

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Keywords

Computer Science
Biomedical Engineering
Medical Imaging
Computer Vision
Medical Science
ML

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About this position

Postdoc opportunity in multimodal AI for whole-body PET/CT at the University of Bern / Inselspital, Bern University Hospital in Switzerland.

The Nuclear Medicine team is looking for a researcher with a background in computer vision or medical image analysis to develop models that combine PET/CT images and clinical text. The project focuses on machine learning, medical imaging, and translational work from model development to multicentre clinical validation.

This is a fully funded three-year postdoc with scientific freedom, access to more than 14,000 PET/CT examinations, and GPU computing support. Prior PET/CT experience is not required.

Interested candidates should consult the attached PDF for the full job description, application instructions, and contact email.

Funding details

Fully funded for three years. The position includes scientific freedom, access to more than 14,000 PET/CT examinations, and GPU computing support.

What's required

Background in computer vision or medical image analysis is required or strongly preferred. Prior PET/CT experience is not required. The role is aimed at candidates interested in developing multimodal AI models and taking them through multicentre clinical validation.

How to apply

Read the attached PDF for full details, application instructions, and the contact email. Follow the instructions in the PDF to submit your application.

More information can be found here

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