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scientific methods and analytical approaches used to support the mission of the ATSDR Office of Innovation and Analytics (OIA). You will gain hands-on experience with computational, data science, and other
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participate in the design and optimize processes to improve ingredient functionality, create distinctive flavors, and eliminate off tastes. Learning Objectives: You will be able to learn from multi-disciplinary
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Objectives: Build competency in designing and planning science studies, including performance measurement and mixed-methods data collection. Strengthen skills in applying quantitative and qualitative analysis
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the network. You will also participate in the analysis and interpretation of respiratory virus hospitalization surveillance data, including applying epidemiologic and statistical methods, developing
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systems. Activities may include collecting and analyzing experimental data; utilizing advanced optical diagnostic methods, high-speed imaging systems, and engineering instrumentation to characterize
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, clinical cohort analysis, and patient-reported outcome methods to improve understanding of ME/CFS and related infection-associated chronic conditions and illnesses (IACCIs). Research Project: A research
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Microsoft Office applications and familiarity with statistical analysis methods and software. Critical thinking and scientific judgment to evaluate complex environmental health data and site conditions to
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, gaining exposure to public health research, evaluation, and scientific operations that support agency priorities. The participant will strengthen skills in epidemiologic methods, scientific literature
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Description *Applications are reviewed on a rolling-basis. ARS Office/Lab and Location: A postdoctoral research opportunity focused on the development of novel detection methods for foodborne pathogenic
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wildlife. Use molecular techniques, including CRISPR-based methods and cloning, for vaccine and diagnostic development. Describe microbiological, pathological, and immunological approaches used to study