Sort by
Refine Your Search
-
organizational goals. Designing and implementing a public health program evaluation using quantitative and qualitative data analysis methods. Reporting evaluation results using data visualization techniques
-
variety of meteorological and snowpack sensors. Learn to document avalanche activity and environmental conditions using standardized protocols. Data Analysis and Modeling Train to process and analyze
-
and implementing field trials, establishing experimental plantings, applying environmental stress treatments, and collecting and analyzing both visual and proximal-sensing data. Through work with
-
, Evaluation methods, Mixed methods research, GIS/spatial analysis, Community and/or transportation planning, and Data visualization. Point of Contact Rachel Eligibility Requirements Citizenship: U.S. Citizen
-
, implementation and evaluation science, program evaluation, mixed methods research and evaluation, applied prevention research, systematic literature reviews, data analysis, data interpretation and visualization
-
apply? Through active involvement in these projects, you will further develop your skills in data collection, analysis, and interpretation related to toxicants, resuscitative adjuncts, and biological
-
datasets associated with heat and other extreme weather events. Observe and collaborate on the evaluation and enhancement of extreme weather and health data visualization tools, including the HeatRisk Tool
-
reviews, statistical programming and analysis using software such as SAS, SUDAAN, and R, data interpretation and visualization, scientific writing, and scientific communication. You will also develop skills
-
health data visualization tools, including the HeatRisk Tool and Heat and Health Tracker, under mentor guidance. Participate in collaborative discussions with CDC scientists and partners to gain insight
-
inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security