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Research Opportunity
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Research Opportunity

Machine learning, computer vision

[Open]

Work description

The goal of the project is to improve the state-of-the-art in cervical cancer screening and diagnosis, in both cytology and colposcopy procedures, by creating a Computer Aided-Diagnosis system that can be easily integrated in the conventional clinical workflow. We seek candidates to work on machine learning/deep learning and computer vision to automatically analyze the quality of the acquired images and their suitability for diagnosis in automatic systems.

Academic Qualifications

Master degree in Electrical Engineering or similar

Preference factor

Very good programming skills (C++/Python); good knowledge inf deep learning frameworks (pytorch, tensorflow). Experience in image analysis of colposcopic and cytological cervical data.

Application Period

Since 05 Feb 2019 to 18 Feb 2019

[Open]

Cluster / Centre

Networked Intelligent Systems / Telecommunications and Multimedia