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oral communication with a record of leading and reporting results. Desired Qualifications: Knowledge of quantum computing algorithms. Familiarity with tensor network methods. Experience programming GPUs
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Iterative Algorithms: Optimization and Control.” About the Project The focus of the project is the analysis of iterative algorithms arising from time discretizations of nonlinear evolutions of various kinds
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communication theory, signal processing, and wireless communications, • Extensive experience in physical (PHY) layer algorithm design and performance analysis, • Proven track record
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, algorithmic aspects, such as Parallelization, Fisher Information and Maximum Likelihood Estimation, with optical theory. Department of Imaging Physics Research in the department of Imaging Physics is aimed
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have the opportunity to engage in pioneering research, collaborate with a dynamic and multidisciplinary team, and advance the field of quantum computing through innovative algorithms and technologies
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responsibilities will be to: conduct high-quality research in intelligent sensing and control for complex project environments develop and implement AI-based algorithms (e.g., GNNs, deep reinforcement learning
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distributed quantum computing. The center includes other quantum faculty, and conducts a wide range of collaborative quantum research in the areas of quantum computing, quantum algorithms and complexity
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. Basic Qualifications: A PhD degree in civil, chemical, or environmental engineering. A minimum of 2 years of experience in the use of Python for programming of data analytical models and algorithms
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an exciting approach to agentic, fully autonomous thin film development using a combination of automated electroplating, in-operando measurements, and AI driven algorithms. He or she will work with a team of
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at the department are Algorithms Computational Science Data Science and Statistics Geometry, Topology and Algebra Learning Experience Design Our department offers an inclusive and international working environment