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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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, 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
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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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AI, and/or computer vision and robotics/controls, and with less than 5 years of experience after receiving their PhD. The candidate is expected to work in a highly collaborative multi-disciplinary
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Facebook Instagram Online Application System Facebook YouTube FAQ Impress Contact Welcome to the Saarbrücken Graduate School of Computer Science Vorherige Weiter 1 2 Welcome to the Saarbrücken
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invites applications for a fully funded PhD position at ETH Zürich at the intersection of robotics, wearable sensing, signal processing, machine learning, and human-computer interaction. The goal of
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 25 days ago
Phd/doctoral Tuebingen, Germany Apply by Nov 02, 2026 Max Planck ETH Center for Learning Systems Max Planck Institute for Intelligent Systems 72076 Tuebingen Germany Keyboard shortcuts Map data ©2026
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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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prioritize candidates who specialize in Artificial Intelligence (AI) and Machine Learning (ML), including but not limited to areas such as deep learning, natural language processing, computer vision
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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