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. · Efficient algorithms for emulation of quantum computing and networking. · Developing and applying machine learning algorithms to optimize quantum computing and networking. · Quantum sensing
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to collaborate with other research groups. The time to apply and improve your knowledge and skills on state-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical
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of department computing assets, including process of requisitions. A successful candidate will be self-motivated, interested in learning and troubleshooting; a team player, hands on and creative; and have the
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with sufficient accuracy using fast parametric algorithms and machine learning (ML) models instead of time-consuming simulations to evaluate scenarios for improving the user experience along cycling and
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; Experience with machine learning techniques and models such as classifiers, transformers, clustering, etc.; Experience with graph theory and graphic libraries such as Gephi or NetworkX; Familiar with UNIX
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announces an open competition for the position Ph.D. student - Machine learning-based tools for multiparametric enzyme optimisation Workplace: RECETOX, Faculty of Science, Masaryk University in Brno, Czech
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on the research strengths in bioengineering, data analytics, artificial intelligence, and machine learning. More information on our research strengths can be found at https://www.uta.edu/academics/schools-colleges
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California State University, Northridge | Northridge, California | United States | about 12 hours ago
data solutions. Expert knowledge of data modeling, statistical analysis, machine learning, and optimization techniques. Expert in leading and executing complex, high-impact data analytics projects and
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sources, both on-premises or in the cloud. Ensures the seamless and secure transfer of data, optimizing for performance, integration and reliability to enable subsequent data transformation and modeling
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and develop complex, custom Artificial Intelligence models and applications. This role incorporates Machine Learning, Deep Learning, Computer Vision, Large Language Models, and Agentic AI technologies