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promoters. Digital Phenotyping: Application of hyperspectral imaging and advanced imaging tools to detect disease traits beyond the visible spectrum. AI-Driven Data Analysis: Leveraging machine learning
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foundational competencies in research design, exercise physiology, human subject data collection, and statistical analysis using SPSS, SAS, R, and Microsoft Excel. Strengthening experience in research protocols
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. Instrumentation and techniques that may be utilized within the fellowship for data collection and analysis including UV-visible spectrometers, fluorescence, Raman spectroscopy, SEMs, microscopes, lasers, and other
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investigating the materials synthesis and deployment of advance obscurant materials using a range of spectroscopy and analytical techniques, aerosol generation and analysis. A strong background is needed in
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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virus dissemination and pathology following infection, as well as identifying potential targets for future medical countermeasures. The opportunity to collect and analyze data from a diverse research