10 programming-"Multiple"-"Duke-University"-"O.P"-"FEMTO-ST-institute" Postdoctoral positions at University of Virginia
-
recruitment and buy-in, CARE program implementation and fidelity of implementation monitoring, and data analysis and manuscript generation. This position will complete duties as follows: Recruiting: Reaching
-
Interventions Team: Collaborative Research on Engagement and Wellbeing (PIT-CREW), which conducts research related to promoting effective youth development, intervention, and programming, including preventing
-
will investigate the epigenetic regulation of HSV latency and reactivation. Multiple projects are available, based on strong preliminary data, and are funded by NIH grants. The projects will inform
-
applicants interested in developing a research program in the field of cancer biology are welcomed to apply. Expertise in the fields of molecular biology, cell biology, and genetics are expected. Experienced
-
injection, and cardiac/muscle lead surgery. Work autonomously to plan, conduct, and troubleshoot experiments recording various biosignals such as EEG, EKG, blood pressure, plethysmography, and breathing
-
the development of novel therapies for coronary microvascular disease. The research program focuses on clinical translation and the development and validation of existing and novel cardiac imaging-based
-
meetings, and programs. Anticipated Hiring Range: $58,000 to $65,000 (commensurate with qualifications). For more information on the benefits available to postdoctoral associates at UVA, visit
-
, Python, Bash, and other programming languages for data analysis and statistical modeling. Automated Workflows Experience: Proficient in using HPC, Git/GitHub, Nextflow, Snakemake, or Docker for efficient
-
-seq, CITE-seq, and/or multiome-sequencing data, along with genomic data integration. Interest in human genetics and autoimmune disorders. Solid background in both programming and biology. Strong
-
data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world