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automation, and support reliable critical communications technologies. This role reports to the Telecommunications Manager, ITS Infrastructure. For more information about ITS, please visit our website: https
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of Liberal Arts and The University of Texas. Must be authorized to work in the United States on a full-time basis for any employer without sponsorship. UT Austin offers a competitive benefits package (https
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these resources through a cloud-native Kubernetes environment integrating large-scale CPU and GPU resources, Ceph object storage, BinderHub, Coffea-Casa, Dask, and ServiceX. This platform supports more than 500
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), this multi-scale modeling framework will be used to analyze the interacting drivers for energy decisions across local (e.g. local opposition to energy infrastructure), national (e.g., domestic energy
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. AI-based performance assessment in early design, integrating rapid analysis tools, multi-criteria performance estimation, and surrogate modeling. Human–AI collaboration in design, including agent-based
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ecological assessment to characterise the structure and functionality of natural and semi-natural riparian vegetation, as well as to analyse how its attributes influence multi-taxon faunal communities. Biomass
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University of California, Los Angeles | Los Angeles, California | United States | about 19 hours ago
: See Table 23 for the salary range for this position [https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-oct-2025-scales/t23.pdf ]. A reasonable estimate for this position is
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: ● A successful record of mentoring PhD students, postdoctoral fellows, and early-career faculty. ● Experience developing and leading multi-disciplinary research teams, large-scale research
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multi-institutional team of researchers involved in an ARC Linkage Project (LP240200944) that will deliver new digital forensic capabilities for police – particularly in the context of enhancing child
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
of a multi-level physical activity intervention, Physical Activity and Community Empowerment (PACE). PACE is a 16-week multi-level program that utilizes self-management strategies, including goal-setting