16 programming-"Multiple" Postdoctoral positions at University of Virginia in United States
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Interventions Team: Collaborative Research on Engagement and Wellbeing (PIT-CREW), which conducts research related to promoting effective youth development, intervention, and programming, including preventing
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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
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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
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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
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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
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materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission. Applications that do not contain all
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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
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, search Find Jobs and then R0071754. Complete an application online and include the following documents: CV or Resume Cover letter required Upload all materials into the resume submission field. Multiple
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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
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, 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