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facing health, security, and sustainability with groundbreaking fundamental and applied research. By harnessing powerful tools and algorithms, researchers decode scientific complexities faster and at
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
technologies to scientific research study and experiment design, big data mining and processing, algorithm development, and complex computational analysis. They have expertise in the ethical issues of using AI
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interfaces, application databases, algorithms, etc. Assist with design reviews. Work with quality control teams to optimize testing techniques. Provide technical guidance and mentoring to program teams. Track
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multidisciplinary team, familiarity with best practices in software engineering, and efficacy at communicating and planning with computer-facility technical staff. Experience with algorithms for hydrodynamic-scale
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to national security and societal wellbeing, such as finance, education, civil infrastructure, agriculture, healthcare, entertainment, security, and government; and Inventing new algorithms, techniques, and
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cell-tracking algorithms, we can follow thousands of individual cells in real time as they respond to carefully designed chemical and mechanical cues. These approaches generate uniquely rich datasets
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Posting Summary Logo Posting Number STA00967PO25 Job Family Operational Analysis Job Function Business Intelligence USC Market Title IT Technical Trainer Link to USC Market Title https
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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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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