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), and computational modeling (deep neural networks). We apply multivariate analysis methods (machine learning, representational similarity analysis) and encoding models. Job description: This is an open
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with other research groups for chip applications, e.g. in physics, life sciences, materials sciences, medicine, and machine learning. Chip Design is also a focus of the Master′s program in Computer
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interdisciplinary research, integrating molecular simulations, machine learning, statistical physics, multiscale modeling, and uncertainty quantification. By integrating state-of-the-art machine learning models
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transmission schemes, protocols and cross-layer optimizations for contributing to relevant standardization bodies Implement prototypes involving machine learning techniques to optimize for latency, reliability
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and machine learning / artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems further scientific
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on the available topics and the competencies and interests of the student. What you will do The goal of the thesis is to perform state-of-the-art research in computer vision and machine learning for biometrics
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optical communication networks and systems, as well as machine learning, computer vision, and compressing digital videos. Become a part of our team and join our scientific team in the multimedia
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artificial intelligence, machine learning, big data, multimedia content analytics, information integration and enterprise modeling and analysis. The Enterprise Information Systems (EIS) department works on new
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biological samples' 3D structure and molecular identity. At iBIO, we bring together cutting-edge science from biology, chemistry, engineering, and computer applications. Our overarching aim is to obtain a
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) department develops innovative deep learning technologies in the area of image and video analysis. The department's competencies cover the entire processing chain, from the collection and analysis of visual