9 machine-learning PhD scholarships at PhD Programme "Gene Regulation in Evolution" in Estonia
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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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enabling the construction of the most compact and powerful electrical machines. The project will combine recycled NdFeB raw materials with the production freedom of additive manufacturing (AM) technologies
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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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years a clear interest in the topic of the position principal understanding of electric power systems and a strong background in AI, machine learning strong programming skills (e.g., Python, MATLAB
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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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-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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for better insights and decision-making during data collection campaigns. This project gives a great opportunity to dive into the world of mathematical models, machine learning, multimodal sensing, and data
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facilities, including modern laboratories and technology-driven learning spaces. You will have access to modern equipment, licensed software, and resources that facilitate learning, experimentation, and
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an international team Preferred: Experience in programming and deep learning, showcased through GitHub projects Applicants are encouraged to submit preliminary research plan Specific Requirements The information