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, large language models, and generative AI. Track and analyze the latest trends in AI, including but not limited to large language models, generative AI, and AI for coding. C. Postdoctoral Fellows: 10
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Regular/Temporary Regular Job Code 8351DI Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job The Department of Surgery (DOS) at the University of Minnesota is seeking a highly
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obligations. Complies with Dallas College board policies, state and federal policy, and the student code of conduct as appropriate. Commits to college mission and goals through participating in planning
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Dallas County Community College District | Brookhaven, Mississippi | United States | about 3 hours ago
in accordance with the System’s calendar and contractual obligations. Complies with Dallas College board policies, state and federal policy, and the student code of conduct as appropriate. Commits
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data driven approaches (experimental dataset physics based model dataset) to achieve process optimization, defect prediction and property prediction in various AM processes. The additional specific
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try again. UiO/Anders Lien 20th October 2026 Languages English English English Join the University of Oslo for a PhD in Biomaterials! PhD Position – AI-Driven Multimodal Analysis and Predictive
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between different types of tree-based agriculture? What proportion of water used by trees is derived from different soil depths and water sources? Can aboveground tree morphology be used to predict
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orchestrate source data. Crafts code for the translation and transformation of functional business logic into a high-scale database environment that can readily support the production of descriptive, predictive
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aspects of this programme, developing and applying genome-scale mathematical models to understand red blood cell maturation and predict how engineered biological circuits interact with endogenous cellular
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the consequences of actions, and adapt reliably when the physical world changes? The project connects multimodal perception, reasoning and action with predictive learning and edge intelligence. Research directions