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Field
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regulatory matters is a great advantage for the position. Important tasks of the work plan • Development of machine learning models for the classification of in vivo Raman spectra, applying chemometric methods
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Position Description A postdoctoral position in computational neuroscience /machine learning is available in Dr. David Klindt’s research group at Cold Spring Harbor Laboratory, NY. We are looking
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diagnostic tools to support the managements of patients with stroke. This is a unique opportunity to work in a multi-disciplinary, collaborative environment at the interface of AI, machine learning
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your application! Work assignments The research focuses on federated and decentralized communication-efficient machine learning over networks, with applications in wireless networks and 6G. As postdoc
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of Radiology - University of British Columbia. As a Postdoctoral Research Fellow, you'll play a pivotal role in leading and contributing to the development of a machine learning approach to automate
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-based and space-based sensors for autonomous deployment and decision support. Research and develop orbit determination methods based on machine learning and physics-informed neural networks with
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knowledge in software integration methods. Knowledge in machine learning and deep learning methods. Knowledge in OpenCV, ROS, and Gazebo. Well organized and excellent time management skills. Excellent command
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quantitative approaches towards data science, including relevant developments in the field of geospatial data processing, photogrammetry, computer vision, and big data/machine learning. You have knowledge
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knowledge in software integration methods. Knowledge in machine learning and deep learning methods. Knowledge in OpenCV, ROS, and Gazebo. Well organized and excellent time management skills. Excellent command
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unlabelled data. The research outcome are expected to be published in machine learning and/or computer vision venues such as ICLR, NeurIPS, ICML, ECCV, ICCV, and the like. What we offer A position at a leading