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University of California, San Francisco | San Francisco, California | United States | about 23 hours ago
focus on an AI-driven project aimed at improving patient selection for a Transitional Pain Service (TPS). The position bridges cutting-edge artificial intelligence technology with clinical workflows
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sustain AI-driven solutions while collaborating with Texas A&M High Performance Research Computing to leverage advanced infrastructure for emerging initiatives. Working closely with colleagues across
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Project Officer (Civil Engineering/Materials Science/Mechanical Engineering/Construction Technology)
, mechanical testing, mix design preparation). Familiarity with AI or data-driven tools, such as: machine learning for prediction/modelling, data analytics for material/printing optimisation, or AI-assisted
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being development of Data-driven production process enumeration framework for SCP production, to benchmark economic, environmental and socio-economic performance. As a part of the project you will
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prototype and initial publications.; ● Design and develop an ontology-driven orchestration model linking VC behaviours to digital twin entities, ensuring alignment with cloud-native ingestion and storage
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process, personnel, etc. that meets the agreed upon goals of the organization. Provides guidance for the development of technology related policies and procedures and represents IT on business-driven policy
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justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value. We are looking for applicants who reflect California's diversity and want to be part
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27695, United States of America [map ] Subject Areas: Data-driven Modeling, Computational Biology Appl Deadline: 2025/10/01 11:59PM (posted 2025/08/14) Position Description: Apply Position Description
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intelligence systems that combine vision-language-action (VLA) modeling, robotic perception and interaction, and autonomous task execution. The Senior Research Engineer will play a key role in bridging
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systems that combine vision-language-action (VLA) modeling, robotic perception and interaction, and autonomous task execution. The Research Engineer will assist in system design, software implementation