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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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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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Job Description Are you excited about scientific AI and developing efficient computer vision methods for analysis of complex 3D scans of natural heritage samples? Join our interdisciplinary team as a
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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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intersection of artificial intelligence, computational biology, and computer vision. It is designed for candidates excited about applying advanced AI methods to frontier problems in biology. We are seeking
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-enabled solutions to improve diagnosis, procedural planning, and outcomes in aortic disease. The ideal candidate will combine deep technical expertise in AI delivery (computer vision, machine learning
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 9 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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vulnerabilities and defenses, Anomaly detection, Adversarial machine learning, Computer vision, and Autonomous Robots is desired. The successful applicant will work on various projects on robotics and
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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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, and bio-inspired robotics. Research at our Tübingen site focuses on theoretical and computational aspects of intelligent systems, covering topics such as machine learning, computer vision, control