41 data-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Texas A&M University
Sort by
Refine Your Search
-
CAREER project conducted in partnership with rural educators. The project co-designs locally meaningful investigations in which students use environmental sensors, real-world data, and carefully designed
-
in the analysis and interpretation of single-cell multi-omic data. This role will contribute to cutting-edge research by integrating statistical and computational approaches to address complex
-
health field. Works with researchers to manage community programs, develop and monitor research protocols, analyze data, prepare reports and presentations, and disseminate information to a national
-
emerging methodologies. Collect, manage, analyze, and interpret experimental data using appropriate statistical approaches. Prepare manuscripts for publication in peer-reviewed journals and present findings
-
Research Associate will design and perform infection and time-course experiments, generate and analyze host and bacterial transcriptomic data, and integrate phenotypic outcomes with differential gene
-
research projects. Prepares research data (e.g., coding and cleaning) for analysis. Analyzes research data, performs quantitative analysis, and summarizes findings. Writes and contributes to research papers
-
have all job application data entered, or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We
-
lab, including epilepsy and seizure models, and brain disease paradigms. This position is responsible for data compilation, analysis, interpretation and preparation of scientific manuscripts. The person
-
Models: Perform microsurgeries and longitudinal studies using small animal models of myocardial infarction or heart failure to evaluate therapeutic outcomes. Data Acquisition: Utilize advanced imaging (e.g
-
integrate protein biochemistry, analytical methods, molecular microbiology, and quantitative data analysis. These efforts will improve assay sensitivity, selectivity, stability, and performance in clinically