1,571 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions in Germany
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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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of study. You have knowledge of artificial intelligence and its application in the analysis of company data. You have experience with Generative AI technologies (e. g. GPT models, machine learning). You are
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is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where
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, specifically methods that combine machine learning and optimization with physics-based simulation and/or physical constraints and translate these methods into impactful industrial applications. The position is
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05.04.2023, Academic staff We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated learning
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05.04.2023, Academic staff We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated learning
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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The Fraunhofer Institute for Digital Medicine MEVIS is a world-leading and internationally connected research center for computer assistance in medicine. With about 140 employees, our mission is to
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of different faiths and beliefs. Grounded in the Christian view of human life, the KU aims to create an academic and educational culture of responsibility. The research group Reliable Machine Learning at the KU
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the topic: 1. M Balaish, JLM Rupp, Widening the Range of Trackable Environmental and Health Pollutants for Li‐Garnet‐Based Sensors, Advanced Materials, 2021; https://doi.org/10.1002/adma.202100314 2. M