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, there are active research groups in a number of areas, for example algebraic geometry, algebraic topology, algorithms and complexity, combinatorics, differential geometry and general relativity, dynamical systems
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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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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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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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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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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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, analyze and execute strategies, construct quantitative models, conduct statistical analyses, build algorithmic trading systems, manage risk, develop new businesses, and more. Our trading desks are central
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working on extending and maintaining the National Data Platform (https://nationaldataplatform.org/ ) to include data usage search features pioneered by the democratizing data project (https
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for maintaining information ecosystem health. AI Systems and Societal Impact in Diverse Domains: Research on bias, fairness, and demographic representation in AI/ML systems; algorithmic accountability; healthcare