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Environment Water Research Centre (EEWRC) The Climate and Atmosphere Research Centre (CARE-C) The Science and Technology Driven Policy and Innovation Research Centre (STeDI-RC) Considerable cross-centre
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and AVSD on classroom technology deployments, contributes to IT committees, and uses data-driven insights to improve operations and support the evolving needs of the University. 1.Lead and supervise a
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, enrollment-driven revenue forecasting, and expense modeling. Directly manage key organizational contracts and provide operational support to teams for vendor selection, negotiation, and compliance with
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manufacturing systems including design/modeling/control of manufacturing systems, cyber-physical systems, applied AI, smart manufacturing and data-driven discovery/optimization, among others. Strong written and
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software development. E3 Experience in training deep learning models relevant in research projects at scale. E4 Experience of applying good software engineering practices including but not limited
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contributions in one or more of the following key areas: computational modeling of chemical systems, AI-driven materials discovery/design, robotics for chemical synthesis, machine learning applications in
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–12): State of the art and system modeling This phase will focus on an in-depth literature review on mobility management in satellite and non-terrestrial networks, as well as AI-driven networking
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Georgia College & State University (GCSU) is the state's designated public liberal arts university, where students learn the essential skills to compete in a fast-paced and technology-driven global
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prototyping and digital twin development of industrial manipulators. Model-based and data-driven approaches for the motion accuracy optimization of advanced mechatronic systems. Mechatronic optimization
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scoping to deployment and monitoring of production-grade models—with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and brings a strong