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project on the development of smart optical sensors for environmental monitoring in the oil & gas industry. Our photonics research lab has set modern tools for the design, testing, and optimization
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us to better predict their future survival, improving their local-global conservation policies. In this project, we will address this by combining high-resolution micro-Computed Tomography and AI
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exploration of nonlinear optical and superconducting materials heterostructures. The postdoc will be part of a collaborative team of researchers in the Molecular Foundry from the Inorganic Nanostructures, Data
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layouts; quantify performance (energy/angular resolution, trigger efficiency, background rejection, sensitivity, trade-offs); Define a SWGO–CTAO synergy roadmap for key programs: transients, diffuse
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for 2 years The research group of Dr. Shahram Eivazi at the University of Tübingen is working on the Autonomous Design Systems and Embodied Intelligence, leveraging generative models such as diffusion
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of the following topics: • Precision measurement of oscillation parameters and mass ordering through the analysis of reactor neutrinos • First detection of diffuse supernova neutrino background • Supernova burst
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Center A vital enterprise in the nation’s heartland, the University of Nebraska Medical Center has its eye on improving the future of health care in Nebraska and beyond. As Nebraska’s only public academic
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) technology. The approach relies on high-loss loopback couplers and polarization-resolved optical frequency domain reflectometry to sense beyond the optical repeaters on submarine telecommunication cables with
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, and deep generative models (e.g., VAEs, normalizing flows, diffusion models). Hands-on experience in multi- and hyperspectral image processing (e.g., IDL/ENVI) and RTM inversion (e.g., ARTMO
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thin-film growth and surface chemistry. The successful candidates will focus on understanding and designing the ALD growth process at a fundamental level, while also investigating the optical properties