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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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company with a performance-driven culture. We believe that continuous development is the key to our future growth. As a Machine Learning Researcher at Veo, you'll be an integral part of developing the next
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Two fulltime post doc positions in Theory of machine learning are available. The post docs are under the supervision of Professor Kasper Green Larsen, Aarhus University, Denmark. The focus
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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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focus on biometrics, with special emphasis on computer vision and machine learning. As one of our research associates, you will also be part of the National Research Center for Applied Cybersecurity
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frameworkslike PyTorch2) Practical experience in advanced computer vision and deep learning applications3) Knowledge of MATLAB, C/C++ and fluorescence imaging is beneficial but not mandatoryMinimum Qualification
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labels the scenarios, and uses new and existing machine learning methods (such as Tsetlin machines and neural networks) to build intelligent and proactive risk models. The diverse set of modelling