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Engineering Technology We work at the forefront of university-industry collaboration and develop tools and methods for technology implementation. We are organized in 7 sections all focused on technology
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SGS modeling) and RANS. This includes proposals of new methodologies, implementation and validation of the methods using the simulation and experimental data, reporting of the results, and dissemination
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will develop algorithms and methods aimed at better detection and mitigation of GNSS interference events from either jamming or spoofing attempts. In addition to research within GNSS integrity
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monitoring of neurological diseases. While current diagnostic methods rely heavily on bulk measurements (e.g., cytokines, cell counts), they fail to capture the dynamic and heterogeneous nature of central
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will involve developing and applying advanced data analysis methods to investigate ionospheric electrodynamics using novel datasets, including those from the EISCAT 3D radar system and NASA's Electrojet
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performance, and preventing failures like fires or explosions. Current prediction methods mainly rely on extensive lab testing and modeling, using insights from destructive post-mortem analyses to improve
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Job Description Would you like to join a team that supports the green energy transition by developing wind turbine response and validation methods and solutions? We are seeking a highly motivated
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model systems for electrocatalysis Surface characterization using near-ambient pressure XPS (NAP-XPS) Method development for electrocatalysis measurements Scanning probe microscopy Synchrotron beam times
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to quantify the uncertainty in model outputs using different methods. Run scenario analysis to identify management practices with the largest mitigation potential, both spatially and temporally Support training
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biomass extraction and fractionation using novel green extraction methods as well as detailed biomass chemical characterization using spectrophotometric bioassays, HPLC, GC-MS, ICP-MS, Dumas Flash, ect