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Field
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and make energy use more efficient. We develop novel optimization methods, Machine Learning algorithms, and prototypical Energy Management systems (EMS) controlling complex energy systems like buildings
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often rely on restrictive assumptions or application-specific computational workflows. The PhD project aims to address these limitations by developing a unified, scalable, and interpretable framework
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Developer- AI Literacy and Policy Fundamentals: Understanding and Mitigating Algorithmic Bias  Location: Remote (U.S. based only) Division: Rabb School of Continuing Studies in collaboration with the Heller
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and determination? We are currently seeking a/an 2 University assistants predoctoral (group "Algorithms and Optimization") 39 Faculty of Computer Science Job vacancy starting: 01.10.2026 (MM-DD-YYYY
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to join our group of neuroscientists seeking to solve grand challenges in neuroscience, healthcare, and computing. The successful applicants will contribute to this effort by creating new AI/ML models
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welcomes all transitioning military members to apply. You will: Develop, deploy, enhance, and maintain software applications and tools to support research computing needs Implement efficient algorithms and
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ecology, remote sensing, and computer science. UAV imagery and increasingly sophisticated and targeted AI algorithms can estimate forage quality, biodiversity, and the abundance of individual plant species
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, and machine learning. The successful candidate will support the Principal Investigator (PI) in conducting high-quality research through algorithm development, numerical simulations, and scientific
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community and the general public in the Denver metropolitan area. The current strengths of the faculty are in the areas of algorithms, artificial intelligence, computer networks, graphics, parallel and
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of affiliation is retained. TEACHING ACTIVITIES Deliver lectures, tutorials and computer-based sessions in computer science fundamentals for engineers, algorithms and programming, and numerical analysis Deliver