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://jarvis.nist.gov/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently
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observations of greenhouse and ozone-depleting gases using models, measurements and inverse methods. The general goals are to determine emissions, transport rates and mechanisms, loss rates and mechanisms, and
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), state estimation, system identification and design synthesis problems. A key characteristic of dynamic optimization problems (DOPs) is that the decision variables can be functions or trajectories, leading
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be responsible for teaching several undergraduate construction courses including, but not limited to: Computer Aided Design (CAD), construction materials and methods, construction site management
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high-quality instruction in Computer Information Technology, incorporating hands-on, applied learning experiences where appropriate. Teach courses using a variety of instructional delivery methods
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strategies. It specifically aims to develop, explore, and evaluate new statistical analysis and diagnostic methods using different data sources to improve estimates of population size, temporal trends in
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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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Position overview Position title: Public Health Salary range: A reasonable salary range estimate for this position is $76,700 - $136,600. The posted UC academic salary scales (https://www.ucop.edu
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Fellowship Position’s major duties and responsibilities Method Development: 3D Posture and Canonical Representation (40%) Develop and validate canonical 3D posture estimation frameworks using core multi-view
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 13 days ago
22 Jan 2026 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Computer