Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
rainfall–runoff models, such as HEC-HMS and the National Water Model, to support more reliable flood frequency analysis and improve flash flood predictions in small watersheds. Under the guidance of a mentor
-
analysis and documentation. The project may provide exposure to Sanger sequencing, Next Generation Sequencing (NGS), PCR-based platforms such as QIAcuity digital PCR (dPCR) system, and data analysis
-
methods for evaluating cotton fiber quality and identifying characteristics that promote reliable, predictable dye uptake. Through this experience, you will gain hands-on exposure to analytical
-
USDA-ARS High-Throughput In Vitro Screening of Antimicrobial Compounds Against Phytoplasma in Cherry
PCR, quantitative real-time PCR (qPCR), and reverse transcription qPCR (RT-qPCR) to quantify pathogen dynamics and gene expression. Data Analysis & Synthesis: Learning to process, analyze, and interpret
-
plant genetics, breeding, and pathology, as well as benchtop molecular techniques, and statistical analysis of collected data. Learning Objectives: Under the guidance of a mentor, you will: Develop
-
systems, documentation protocols, standard operating procedures, data integrity protection, and the necessity of generating reliable laboratory results. Scientific data interpretation and problem-solving
-
quality-control materials, analytical review criteria, repeat-testing criteria, and evaluation of data reliability. Laboratory documentation and risk assessment – You may gain experience developing project
-
sequencing (eWGS), PCR-based HPV genotyping platforms such as Novaplex HPV28, and data analysis approaches used to support reliable HPV surveillance and vaccine impact monitoring. This research aligns with
-
epidemiology that can be used as a basis for the development and implementation of new, reliable, environmentally sound integrated management systems that rely on host resistance, biocontrol, and natural
-
analysis and visualization by exploring methods for transforming operational data into dashboards and metrics that communicate trends, process flow, and resource utilization to varied audiences