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Imaging Library and qim3D packages. Publish scientific articles within computer vision, data, and applications in collaboration with colleagues in physics and natural history. This role is part of
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protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. We
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trainees including PhD students, residents, fellows, and research staff Develop educational programming in AI for surgery and translational data science Minimum Qualifications PhD in Computer Science
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realize that vision. Applicants for the position must possess a PhD in electrical and/or computer engineering, or a closely related field and be qualified for appointment as a tenured, full professor
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 15 hours ago
01, 2022 Description The VCC center at KAUST is looking for postdoctoral researchers and research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering Leuven VIB Center for AI & Computational Biology Group Leader / PI Posted Date 12 Oct 2026
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using imaging and computer vision; AI models of disease and digital twin applications. Biological applications and disease areas ideally focus on genetics and genomics. We also welcome applicants with
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Computer Vision and Learning Systems (CVL) at ISY has a vibrant research environment with a total of approximately 30 employees. This includes four faculty members, Assistant Professors, Postdocs, and PhD
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) laboratory, led by Assistant Prof. Juliette Griffié, is recruiting a highly motivated PhD student to develop next-generation generative AI approaches for multimodal biological data integration and
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imaging data. In this fully funded PhD project at DTU Compute, you will develop novel learning-based methods for X-ray nano-tomography. As state-of-the-art synchrotron imaging systems push towards