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supercomputers, and computational imaging. Research Areas of Interest (include but are not limited to): Vision Transformers and foundation models for scientific and biomedical imaging Federated and distributed
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biomedical engineering, electrical engineering, computer science, biostatistics, or a related field. Preferred Qualifications Doctor degree in biomedical engineering, electrical engineering, computer
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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Programme? Not funded by a EU programme Reference Number 46/2025 Is the Job related to staff position within a Research Infrastructure? No Offer Description Post-doc position available in the Institute
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related to staff position within a Research Infrastructure? No Offer Description Post-doc position available in the Institute of Physical Chemistry PAS within National Science Center (NSC) MAESTRO 16
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description Advanced rock mass characterization with MWD and image