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wastewater treatment; AI and high-performance computing; and technologies to support grid flexibility of large loads (e.g., data centers). Technical Assistance: Fellows will participate in activities related
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policy, and data analysis. These include mentored research experiences with FDA subject matter experts, participation in relevant training programs and seminars, and skill development in scientific writing
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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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of prospective projects/tests Understand how to design and develop test plans and analysis methodologies through participation in test teams Learn presentation techniques incorporating information related
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of a scientific mentor, you will gain experience and learn to conduct rigorous data analysis and cross-project data synthesis, identify critical technical and data gaps, and determine future applied
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-MS/MS, analytical method validation, laboratory quality systems, data management, biomarker analysis, and epidemiological laboratory research applicable to roles in public health laboratories, clinical
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pathogens such as Alternaria, Cladosporium, Mucor, or Penicillium is a plus. Applied research skills — Strong understanding of applied research, including experimental design, data collection, data analysis
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herbicide resistance mechanisms; and Build robust data analysis skills and enhance scientific writing and publishing capabilities. Mentor(s): The mentor for this opportunity is Krishna Reddy (krishna.reddy
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complete application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant
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, TD-GC–MS, LC–MS, or other comparable advanced analytical platforms; Demonstrated skills in the collection and interpretation (including statistical analysis) of high resolution mass spectrometric data