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learning theory, the mathematics of quantum computing, mathematical modeling of algorithms, and theoretical aspects of AI and machine learning. However, outstanding candidates with research programs outside
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Fund. Subject description The subject includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals that are closely related
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 months ago
our website: https://provost.charlotte.edu/academic-budget-hr/academic-personnel-procedures-handbook/ Essential Duties and Responsibilities The qualified candidate is expected to focus on the broad area
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our website: https://provost.charlotte.edu/academic-budget-hr/academic-personnel-procedures-handbook/ Essential Duties and Responsibilities The qualified candidate is expected to focus on the broad area
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architectures, frameworks, and prototypes for high-fidelity visual simulations and AI-enabled environments and applications. Apply computational models, data-driven algorithms, and physics-based simulation
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at https://www.euraxess.pt at and on the website of the Universidade do Algarve, at https://www.ualg.pt/procedimentos-concursais . Applicable legislation: Decree-Law 57/2016 of 29 August, amended by Law 57
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funded by a EU programme Reference Number AE2025-0603 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais
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algorithms, operating systems, databases, security, visualization, AI/ML, human-computer interaction, and social computing. For the tenure-track Assistant Professor position, applications from early-career
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component. The battery management system (BMS) unit is not just a component, but a crucial element tasked with monitoring each cell of the battery and running algorithms to calculate state of charge (SoC
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and