Sort by
Refine Your Search
-
of multiple surveillance and administrative data sources. Development of reproducible analytical workflows using programming languages such as R and Python. Application of machine learning and predictive
-
the fellowship, you will learn about federal grants, cooperative agreements, NOFO development, emergency response funding, reporting requirements, and funding restrictions. You will also gain experience reviewing
-
identification to support realistic model development. Gain experience analyzing model outputs using established statistical techniques to interpret invasion dynamics and risk patterns. Build foundational
-
management, with experience in statistical analysis and process-based modelling. A person with training in database development and management, as well as experience and interest in modeling soil carbon
-
project to isolate, synthesize, and bioassay natural products that mediate plant-insect interaction. Project activities include 1) the chemical characterization of mealybug pheromones and 2) the development
-
, Fitness & Nutrition. Develop skills in reviewing and collaborating on projects focused on disease prevention and health promotion. Learn about program development and implementation through participation in
-
and help requests, as opportunities arise. Gain experience with questionnaire development, data collection tools, sampling materials, data management processes, and report generation used in disaster
-
of biological factors influencing poultry meat quality and the development of breast muscle myopathies in broiler chickens. Learn strategies for reducing the incidence and severity of poultry breast myopathies
-
generated during diagnostic method development, validation, and quality control activities. Organize, analyze, and present scientific data to clearly communicate findings from method evaluations and research
-
program funding, program evaluation, science translation, technical assistance, training and partnership development. For more information, visit: https://www.cdc.gov/nccdphp/dcpc/index.htm https