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Affairs (SAA) is a collaborative leader, partnering with faculty, staff, and the broader community to prepare our students to thrive as lifelong learners and agents of change. The SAA Student Success team
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SDIs (or SE-SDIs). We are seeking a postdoctoral researcher to develop and demonstrate a conceptual SDI model for integrating multi-sourced, multi-modal data into a coherent data infrastructure and
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decision-making in multi-agent autonomous systems by leveraging and combining deep-learning based motion predictions and optimization-based motion planning. Key research questions include multi-modal
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in multi-disciplinary treatment planning and coordination of care with radiation oncology, neurology, neurosurgery and other specialties as needed. Successful candidates will have a proven record of
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following: o Large Language Models (LLMs), multi-agent systems, or reinforcement learning. o Formal proof assistants (Lean, Coq, Isabelle, or similar). o Programming. o Strong mathematical maturity
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communication skills to convey technical and financial concepts to non-technical users. Project management skills and ability to work both independently and as part of a team, to manage complex multi-task
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Practice Position #00844559 – Requisition #38765 Job Summary: Applications are sought for a 1.0 FTE full-time Instructor of Clinical Practice/NP or PA, UCHealth Multi-Specialty Cancer Practice, Highlands
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Directors. · Acting as a purchasing agent for the unit; departmental P-card holder/experience in purchasing and budget planning · Professional experience in administrative support in a higher
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foundation models and agentic AI models. Experience in large-scale deep learning systems and/or large foundation model, and the ability to train models using GPU/TPU parallelization. Experience in multi
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agents (OHRP, FDA, DOD, etc.) as needed for guidance to ensure UMCIRBs satisfaction of regulatory requirements. Draft and maintain Individual Investigator Agreements with individual research team members