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build the sustainable companies and societies of the future. Luleå University of Technology (LTU) is one of Sweden’s leading universities in the area of Machine learning, especially in Deep Learning, with
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in machine learning and deep learning Knowledge and experience in wireless communications and radar Knowledge and experience in statistical signal processing Knowledge and experience in 5G networking
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University of North Georgia is a University System of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https
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student in areas related to Computer Science. Basic experience in health data analysis. Python programming. Knowledge of machine models and deep learning. Intermediate English level. Specific Requirements
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deploying machine learning models and AI systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices. Software Engineering: Excellent software development
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materials and retrieve learning materials. Knowledge of operation of media projectors, computers, and other equipment for showing media and utilizing computer software. Must be able to travel to other College
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computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine learning, with practical
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development, machine learning and signal processing, and system integration. We are interested in working on different areas to improve the BCI technology. These areas include (but are not limited
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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. · Artificial Intelligence, Machine Learning, and Data-Driven Systems – edge AI, embedded intelligence, and neuromorphic computing. · Cybersecurity & Privacy – hardware and IoT security, post-quantum cryptography