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methods, work with real messy multi-source data, and contribute to infrastructure supporting population-level research and health equity. The postdoctoral fellow will be based in the Department
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to simulate glass-forming systems at near-quantum-mechanical accuracy and experimentally relevant time scales. You will develop AI-driven frameworks applied progressively to inorganic glasses, simpler molecular
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multimeric proteins, large-scale virtual screening (VS), and the integration of AI concepts into our drug discovery pipelines. Your main responsibilities will include: Conducting and analysing long-timescale
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the systems, processes, and controls that underpin large-scale global recruitment within a complex, regulated environment. Working closely with senior colleagues across International Recruitment, Admissions
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Located in the fastest-growing region of the state, the University of North Georgia is a multi-campus university with an enrollment of over 20,000 students, making it one of the largest institutions
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analyzing complex, large-scale, or linked datasets. Experience navigating data governance and regulatory requirements for human subjects research. Strong organizational, project management, and communication
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and workflow. Proven leadership experience leading cross-functional teams, delivering complex ERP implementations, and supporting enterprise-scale environments. Hands-on experience with Oracle
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the benefits of HOFI channels for laser wakefield acceleration (LWFA). Your mission will involve applying multi-physics approaches to address both the long time scales required for channel formation and the
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challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to
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they can participate dynamically in multi-energy markets at both building and district scale. You will develop high-fidelity techno-economic models of chillers, heat pumps and thermal energy storage