24 software-engineering-model-driven-engineering-phd-position-"Multiple" Postdoctoral positions at University of Virginia
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learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes
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loaded into the resume submission field, multiple documents can be submitted into this one field. Incomplete applications will not be considered. For questions about the position, please contact Youth-Nex
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.), Proteomics, Metabolomics, Bioinformatics. Software: Microsoft Office (power point, excel, word), Image J/Fiji, EndNote. The position will remain open until filled. This is an exempt-level, benefitted
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The Department of Genome Sciences at the University of Virginia is seeking a highly motivated candidate for a Postdoctoral Research Associate position in the Miller Lab . The successful candidate
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techniques for pulmonary diseases such as COPD, interstitial lung disease, asthma, pulmonary hypertension, and cystic fibrosis in human and preclinical modeling, including murine models. Postdoctoral
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ability to learn new software quickly and introduce new useful applications and platforms to the team. Proficient in advanced statistical modeling software (e.g., R, Stata, Matlab) Physical Demands This is
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on the potential survival of consciousness after death. Today, our broad mission is the scientific investigation of phenomena that challenge currently accepted models of the nature of mind and consciousness
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science of science, network science, and natural language processing. As part of a small research team, the postdoc will help lead efforts to provide a quantitative model of global competitiveness
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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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. This position offers a unique opportunity to contribute to high-impact, interdisciplinary research at the intersection of network science, global research competitiveness, and generative AI capabilities