184 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Technical University of Munich
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Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: office.cm@mgt.tum.de More Information https://www.fa.mgt.tum.de
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Professorship of Remote Sensing Applications (https://www.asg.ed.tum.de/rsa), Department of Aerospace and Geodesy, TUM School of Engineering and Design, focusses on methodological research on the analysis and
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of TUM. Kontakt: andre.stiel@tum.de More Information https://www.helmholtz-munich.de/en/ibmi/rg-ibmi-celleng
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highly qualified Postdoctoral Researcher (m/w/d) to support the DFG-funded Cluster of Excellence “TransforM – Munich Center for Transformative Technologies and Societal Change.” (https://transform
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social or behavioral sciences (incl. human-computer interactions with relevant experience). Applicants must demonstrate experience in experimental work with human participants; possess versatile
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involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and
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Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including
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robotic system design, humanoid robot development, manipulation and bimanual manipulation, control, or machine learning for robotics. Excellent project management skills to meet and achieve the expected
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: anja.boeckl@tum.de More Information https://www.arc.ed.tum.de/en/and