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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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learning; experience with 3D data or point cloud processing, computer vision, or generative models is a plus. Enjoyment of application-oriented challenges in industrial contexts, translating theory
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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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effective and productive relationships. Must be able to work independently. Work requires frequent standing, walking, sitting, repetitive motion and vision of computer monitors. Why Work at Saint Leo
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Cancer Center at Illinois (CCIL). Successful candidates should have established a significant record of computer science research related to cancer biology and/or treatment, and will have achieved
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learn data processing routines, requirements, and challenges and develop cloud-based solutions to improve efficiency (GCP) Computer Vision & Robotics Development (40%) Train and deploy computer vision
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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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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
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 also welcome applicants
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
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 also welcome applicants
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performance (speed, resolution), robustness and flexibility . We cover the whole data processing chain - from image capture, image processing/computer vision to image content analysis - using both traditional