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machine learning (ML) algorithms for evolving ultra-massive MIMO scenario in the context of distributed/Cell Free MIMO with the objective to provision automated solutions for radio resource management
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/news.html)Our goal is:1. use AIML approaches to accelerate atmospheric modeling.2. use AI models to understand global atmospheric chemistryWhat we are looking for:1. strong academic background in machine
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. Outstanding researchers from the areas of Machine Learning, AI, Robotics, and related areas including Reinforcement Learning, Control Engineering, Computer Vision, Statistics & Optimization, or Mathematics
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robotics, mechatronics, machine design, machine dynamics, control theory, software technologies, real-time computing, human-machine interaction, communication, vehicle engineering, machine learning and
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well as to implement innovative machine learning, data integrative and multimodal solutions. The hosting core facility is located in the School of Medicine, Faculty of Health Sciences, on the UEF Kuopio campus
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skills in remote sensing and machine learning. The position entails both office work and field work. We welcome candidates with a background in geography, ecology, environmental sciences, geoinformatics
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reconstruction, experimental imaging, X-ray physics where applicable, and/or data analysis. Knowledge on machine learning and AI is a plus. RU Research Unit of Space Physics and Astronomy: MSc in Space Physics
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» Mechanical engineering Engineering » Biomedical engineering Engineering » Control engineering Engineering » Computer engineering Engineering Researcher Profile First Stage Researcher (R1) Country Finland
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» Mechanical engineering Engineering » Biomedical engineering Engineering » Control engineering Engineering » Computer engineering Engineering Researcher Profile First Stage Researcher (R1) Country Finland
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motivated to conduct academic research and obtain a PhD degree. You must have a master’s degree in either electrical engineering, control / automation, mechatronics, computer engineering / computer