78 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Technical University of Munich in Germany
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) Experience with data analysis / machine learning is a plus The ability to work independently and as part of a research team Proficiency in English, both written and spoken We offer... A fully funded position
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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and evaluation of human-machine interactions as well as the design of complex socio-technical systems. The Automated Driving Research Group addresses topics related to the interaction between users and
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, leveraging a principled combination of passivity-based control methods, machine learning, and human-in-the-loop systems to enable robust teleoperation in uncertain and delayed communication environments. Key
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related field. Strong background in robotics, estimation, control, or machine learning. Strong proficiency in Python and/or C++ and experience with ROS/ROS2. Demonstrated research experience (e.g., Master’s
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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with
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skills in statistical analysis, data mining, data integration, machine learning, programming, backend or frontend development, and database design. Additional desirable skills include a sound understanding
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qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through computer vision
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of machine learning approaches. Defining standards and databases for experimental protocols and biosystem designs will be of critical importance for the establishment of the Munich Repository of Standardized
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to joint research activities, publications, and surveys. Requirements PhD degree (or near completion) in robotics, control, machine learning, or a related field; Strong publication record demonstrating