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among employees. Rutgers–Camden is recognized as a national model for civically engaged urban universities and was selected by the Carnegie Foundation for the Advancement of Teaching for a Community
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research duties to support the laboratory of Dr. John Rawls (https://sites.duke.edu/rawlslab/ ). Dr. Rawls’ lab uses zebrafish, mice, and bacterial model systems to investigate mechanisms of host-microbiome
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across diverse areas of the University, including Research, People and Culture, Teaching and Learning, and Commercialisation. Your ability to build trusted relationships and understand the nature and value
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a dynamic environment that encourages learning, discovery and personal growth. The University is accredited by the Southern Association of Colleges and Schools and has earned specialized accreditation
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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
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Environment. Across both areas, the School has a particular interest in candidates who leverage advances in artificial intelligence, machine learning, digital twins, Earth observation, robotics, autonomous
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community partners to ensure outputs reflect local priorities and inform adaptation planning. Duties may include: Develop spatially explicit computational models using machine learning, hydrologic, and energy
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range of projects involving machine learning (ML) and artificial intelligence (AI), including autonomy, sensing and communication, and decision support systems, among others. The R&D Engineer will work
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to, training new users, compliance monitoring, coordinating research activities of multiple laboratories, resource scheduling and billing Train and instruct research staff that will be utilizing the RBL facility
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of USC Upstate’s Industrial Engineering program and its Lab-in-Industry (LI²) model. LI² embeds selected Industrial Engineering laboratory experiences within local manufacturing facilities rather than