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Field
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Scholarship for the PhD in Medical Sciences in the field of Sleep Science and Neuroscience for thePhD Research Project ‘PHD-2023-3: Development of a Machine Learning-based nightmare detection method
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PhD in remote sensing, geophysics, computer vision, machine-learning, geography or similar Experience in handling netcdf and shapefiles in Python (xarray, geopandas) Experience in image segmentation and
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in the field of production engineering. A further research focus is on novel topics such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data Analysis or Industry
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helpful here – or a Master's degree from the field of machine learning, neural information processing, or electrophysiological signal processing – here very good programming skills and experience with EEG
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tools and in the field of production engineering. A further research focus is on novel topics such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data Analysis
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based on real load models together with privacy-preserving machine learning methods. The proposed methods will be demonstrated at Dansmästaren, a test bed for research on smart EV charging and energy
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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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will join a dynamic team of young, talented, and creative colleagues. The group specialises in applied research within the following areas: Hybrid AI: The combination of machine learning and other system
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economics, econometric techniques, machine learning or quantitative empirical research methods; The ability to work on real-world problems in an interdisciplinary and internationally oriented environment