Sort by
Refine Your Search
-
, and evidence-informed approaches to science and technical education. Apply analytical methods to training evaluation data by learning approaches for organizing, analyzing, interpreting, and
-
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
-
methods for remote-sensing data acquisition and how environmental data can support ecological research. Develop analytical and scientific-communication skills through interpretation of results and
-
insights gained throughout the appointment, you will learn to apply evidence-based methods to develop a research-prioritization matrix and collaborate on a draft a five-year research agenda for the ATSDR
-
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
-
. The research will involve intelligent, robust, and adaptive control and actuation methods that will advise scaling and feasibility for implementation in airbreathing engine flow paths, lifting surfaces, and
-
, 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
-
the network. You will also participate in the analysis and interpretation of respiratory virus hospitalization surveillance data, including applying epidemiologic and statistical methods, developing
-
systems. Activities may include collecting and analyzing experimental data; utilizing advanced optical diagnostic methods, high-speed imaging systems, and engineering instrumentation to characterize
-
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