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the appropriate apartment in this unique environment. Job Description Primary Duties & Responsibilities: Meet prospects visiting the rental office, fill out visitor cards and pre-qualify prospects. Show model
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, immunology, epidemiology, population genetics and mathematical modelling and involve both laboratory-based projects and fieldwork. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time
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, evidence-based treatment plans in dynamic critical care environments. Prescribes and titrates pharmacologic agents (including vasoactive infusions / vasopressors, sedatives, analgesics, paralytics
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management strategies using evidence-based medicine. · Facilitate referrals to other care providers. · Prescribe appropriate pharmacological agents. · Provide patient education and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
their assigned duty station. The Data-Driven EnviroLab (DDL) is an interdisciplinary and international research initiative based at UNC’s IE that is redefining how data is used to tackle the world’s most pressing
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Framework and the Student Advising Model. Resolving issues identified through student inquiries regarding enrolments, fees, timetabling, and other related matters, acting to resolve the problems, or where
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intelligent robotic behavior across diverse environments. The position involves developing and testing embodied intelligence systems that combine vision-language-action (VLA) modeling, robotic perception and
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progressed capabilities towards exploiting zero-day vulnerabilities. Frontier models show promising performance when combined with a focused knowledge base and multi-agent architectures. However, in most cases
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of education and relevant experience. Job Description: Curriculum Development and Financial Education: Under the leadership of the Associate Program Leader (APL) for Housing Education, work with county agents
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optimization and meta-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and