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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 13 hours ago
: variational formulation of neural network learning convergence of Langevin Monte Carlo algorithms Dissemination of research results through participation in scientific conferences, presentations, and
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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
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and confidence as they digitalize. For more details, please view https://www.ntu.edu.sg/dtc Job Requirements: Conduct advanced research in Generative AI, focusing on the design, development, and
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research on the design and development of next-generation wireless communication systems. Specific topics include, but are not limited to, waveform design for the THz spectrum under hardware constraints
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Responsibilities The PDA will conduct research to design and develop optical wireless communication systems. This involves the development of mathematical models for signal transmission/reception, derivation
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research agenda to develop safe and effective measures to curb harmful online content and strengthen public discourse. As part of our efforts, we are using state-of-the-art machine learning techniques and
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demonstrated by successful applications for external funding. Extensive experience in immune repertoire data analysis, bioinformatics algorithms and software development. Deep understanding of molecular biology
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Responsibilities: Conduct programming and software development for big data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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gradient flow methods hold significant potential for the development of sampling algorithms. The research goals are structured into the following primary tasks: Parameter identification: The problem
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Make a Difference at Grand Canyon University The College of Engineering and Technology employs faculty and faculty leaders who are passionate about engaging and mentoring students to best prepare