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with remote sensing data (satellite, aerial, hyperspectral, SAR, LiDAR) Computer Vision Natural Language Processing Remote Sensing Machine Learening and Deep Learning Reinforcement Learning Large
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many areas of applied and theoretical statistics and data science, and is heavily involved in research at the crossing of statistics and machine learning. The focus of this postdoctoral fellowship is to
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, methods and models (e.g., deep learning methods, multimodal AI) for the automatic identification of behavioral cues during ecological interactions with people and the environment and analyses of video and
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component of special needs education and contributes to promoting participation, inclusion, learning, and well-being among children, young people, and adults with special educational needs. Research in
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you will apply for the position with us. We offer Exciting and meaningful research tasks as part of an ambitious project on mathematical learning difficulties The opportunity to research children's
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at the crossing of statistics and machine learning. The focus of this postdoctoral fellowship is to conduct cutting-edge research on AI-based forecasting and analytics for shipbroking and maritime decision support
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describes teacher education in terms of five elements: visions of what constitutes good teaching; tools for teaching (both material and theoretical); understandings of mathematics and the learning
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period of 3 years. The position is subject to external financing through the RCN funded project "Quantum Oscillator Networks for Optimisation and Machine Learning" (project number 358752). About the
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Willingness to learn new skills as the laboratory grows and techniques evolve An interest in working with clinicians as well as researchers in basic immunology Interest in conveying their own research as
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Norway, NTNU will arrange the possibility for you to acquire such competence during the employment period. In such cases, you will also be assigned relevant teaching as part of the career-promoting work