Offer Description

This position explores synergies between modern deep learning-based AI and classical mathematical formulations across scientific disciplines. It is part of Zee-Zoom-Zap, a new visionary ERC Synergy project aiming at the development of a novel paradigm for cancer theranostics (integrated diagnosis and treatment).

We are seeking a bright, proactive postdoctoral researcher to join the Zee-Zoom-Zap project team, taking a leading role in the exploration of novel physics-informed formulations for deep learning. With a focus on core methodological machine learning research, the work will also include applied research towards physics-informed imaging, image processing, device design, and therapy guidance.

Where to apply Website

Requirements

Research Field Engineering » Biomedical engineering Education Level PhD or equivalent

Skills/Qualifications





Experience in the development of applications and systems for industrial and clinical use, in real environments. Good knowledge of state-of-the-art methods and libraries for deep learning, with an application to medical image analysis.

Languages ENGLISH Level Excellent

Research Field Engineering » Biomedical engineering Years of Research Experience 4 - 10

Additional Information

Work Location(s)

Number of offers available 1 Company/Institute Universitat Pompeu Fabra Country Spain State/Province Barcelona City Barcelona Postal Code 08018 Street Roc Boronat 138 Geofield

Contact State/Province

Barcelona City

Barcelona Website

Street

Roc Boronat 138 Postal Code

08018 E-Mail

[email protected]

STATUS: EXPIRED

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📌 Postdoctoral position - Physics-informed deep learning for cancer imaging, diagnosis and treatment (ERC Synergy project Zee-Zoom-Zap) (Barcelona)
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