Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
-
able to communicate fluently in spoken and written English. Previous publications from conferences in computer vision or machine learning are considered a merit. Your workplace The Division of
-
-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
-
. Publish research results in leading journals and conferences in machine learning, computer vision, and computational imaging. Contribute to research-based teaching and supervision of MSc and BSc student
-
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
-
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
-
Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
. Service. You provide scientific, societal, and internal services that contribute to the reputation of the entire VIB and university. Your profile PhD or equivalent experience in machine learning or a
-
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
-
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
-
, 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