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recycled sources. Description Within this thesis, the PhD candidate will learn in depth about hard magnetic materials and obtain practical skills, which include: operating two different AM manufacturing
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degree in Electrical engineering from last 3-5 years a clear interest in the topic of the position profound knowledge of electric power systems, wide-area monitoring and machine learning methods. excellent
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vision projects using computer vision libraries (OpenCV), machine learning frameworks (Pytorch and Tensorflow) Good understanding of ROS, ROS2 (Robot Operating System) and ability to work on Linux
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(OriginLab Corporation) Knowledge of electrochemistry Knowledge in the machine learning Specific Requirements The information for the PhD admission is available at TalTech´s web-page: https://taltech.ee/en/phd
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theoretical experience with power grid planning issues basic knowledge of machine learning Specific Requirements The information for the PhD admission is available at TalTech´s web-page: https://taltech.ee/en
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-analytical or numerical model including the description of the environmental loads and structural response, or in (ii) a machine-learning model, where experimental or numerical simulation data is used
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explainable AI methods crucial for medical applications Teaching and Supervision: Delivering practical sessions on Data Mining and Machine Learning topics Co-supervising bachelor and master level students in
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position within a Research Infrastructure? No Offer Description Tallinn University of Technology School of Information Technologies, Department of Computer Systems, Centre for Biorobotics offers a 4-year PhD