Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
(ONT) and the Illumina NextSeq 1000/2000 platforms for malaria genomic testing. Learning Objectives: The laboratory is seeking a fellow for a 1-year fellowship for the following training objectives
-
researchers in an effort to learn and perform structure-based protein design of vaccines and antibodies. Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to complement your
-
Eastern Time Zone Description Want to learn more about the US Department of Homeland Security and the research the agency and component agencies do to enhance your research interests and career goals
-
results including recommendations for improving training. Learning Objectives: Under the guidance and training of a mentor you will be involved in several learning activities of the Division including
-
activities, learning how to organize and synthesize information from diverse scientific programs. Under the guidance of a mentor you will perform a structured gap analysis to identify unmet research needs and
-
presentations, technical reports, posters, abstracts, and manuscripts. Activities may be tailored your scientific background, interests, and professional development goals. Learning Objectives: During
-
Response is seeking a fellowship participant to receive hands-on training in the coordination, development, and implementation of advanced software systems. Through mentorship and experiential learning, you
-
and capability gaps. Learning Objectives: Through this opportunity, you will gain knowledge and practical experience in biosurveillance, emerging biological threats, public health preparedness, program
-
managing diabetes using computer simulation models. Learning Objectives: You will learn: How to synthesize and translate empirical evidence on cost-effectiveness of interventions for the prevention and