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, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD in the related fields. The candidate is expected
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tracking and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
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), time management, project management and presentation skills Proficient with computer applications and programs associated with the position (i.e., Microsoft Office suite, Point of Sales systems) Strong
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), time management, project management and presentation skills Basic computer skills for applications and programs associated with the position (i.e., Microsoft Office suite) Strong attention to detail and
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computer applications and programs associated with the position (i.e., Microsoft Office suite) Strong attention to detail and follow up skills Strong customer service skills and phone and e-mail etiquette
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Priorities: We seek applications across all AI domains, with emphasis on: Foundational AI : Machine Learning, Computer Vision, NLP, Robotics & Embodied Intelligence, Data Science. Interdisciplinary Frontiers
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of experience and training gained by completion of technical courses in plumbing at a school, institute, or branch of the Armed Services; OR successful completion of the two-year Trades Specialist (Plumber
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assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
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, statistics, and machine learning. We offer a full-time position with the following benefits: Flexible working conditions including negotiable part time contract. Monthly gross salary: 54 - 72 thousand CZK
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 21 days ago
source tools (preferably Julia or Python), · advantage: publishing activities, including presentations of results to stakeholders and/or experience with parallel programming and machine learning / AI