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-preserving, machine-learning–accelerated scientific computing for plasma physics applications. In particular, the project involves developing data-driven collisional kinetic models and numerical schemes
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, computing, robotics and control, energy and power systems, signal processing and communications, autonomous systems, biomedical engineering, and emerging nanoscale technologies. The department offers
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. Working knowledge of enterprise networking concepts, including wired and wireless connect ivity, VPNs, firewalls, routing, and switching. Experience sup porting virtual desktop and remote computing
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microscopy, -omics technologies, and high-performance computing. In addition, Dr. Topp is spearheading the development of a new X-ray imaging facility with focus on non-destructive, high-resolution
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-performance computing. In addition, Dr. Topp is spearheading the development of a new X-ray imaging facility with focus on non-destructive, high-resolution analysis of root growth and soil interactions
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, Chair of the Search Committee, at [email protected] with the subject line “ComArtSci Postdoc – Journalism.” Review of Applications Begins On - December 1, 2025 – Applications will be reviewed on a
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, microelectronics, computing, robotics and autonomous systems, energy and power systems, materials and devices, biomedical engineering, signal processing, and communications. Through innovative education
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-robot interaction, rural computing, game studies and design, and the relationships between technology, policy, health, and society. Department faculty collaborate across fields such as communication
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, machine learning, remote sensing, high-performance computing, and real-time data infrastructure. Distinct opportunities also exist in physics-informed AI, digital twins of watersheds and water
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areas including electromagnetics, materials and devices, microelectronics, computing, robotics and control, energy and power systems, signal processing and communications, autonomous systems, biomedical