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bacteria; • Application and optimization of molecular methods for bacterial detection and identification (PCR, qPCR, LAMP); • Support in evaluating and validating rapid diagnostic platforms in the lab and
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management within a dynamic team of faculty, postdocs, and graduate students. The successful candidate will be expected to engage in research in photonics and/or quantum technologies, lead federally funded
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efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation of models on patient-specific geometries obtained from MRI data Participation in conferences
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(Western blot, immunoprecipitation and immunofluorescence) Perform cell culture Develop and optimize protocols for new antibody-based applications Compile data, prepare data figures, and contribute
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computational methods, will be used to identify and validate promising candidates. Further design and engineering efforts will be utilized to optimize and port successful sensors into sensing platforms being
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through the integration of high-performance materials, robotics, automation, computation, and process optimization. Affordable mass customization of building designs that are produced with advanced