12 lecturer-in-software-engineering Postdoctoral research jobs at University of Virginia
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The College of Arts & Sciences at the University of Virginia invites applications for several Postdoctoral Research Associate and Lecturer positions in the College's core Engagements program for a
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Applications are invited for a one-year appointment, starting fall 2024, as a Postdoctoral Research Associate/Lecturer in the area of Black media studies—in the departments of Media Studies and/or
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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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/DNA transfections, lentiviral production and cell transduction, CRISPR engineering. In vivo : Subcutaneous/orthotopic tumor xenografts experiments, brain stereotactic injections, mouse handling
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within the PIT CREW and National Center for Rural School Mental Health . Run advanced quantitative analyses using software such as Stata, R, Mplus, HLM, and/or SPSS. Generate research questions
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university partners on systems-level issues. Run advanced quantitative analyses using statistical software. Generate research questions for analysis utilizing quantitative and qualitative data collected. Lead
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science, engineering, sociology, economics, management, or related fields). We seek applicants with strong computational and statistical skills, experience with managing large datasets, and fluency with
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resonance, computed tomography, and echocardiographic images using a wide range of software programs is essential. Additionally, a strong understanding of cardiac anatomy to facilitate image segmentation and
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science, engineering, bioinformatics, computational biology, or related fields. Preferred Qualifications: Multi-Omics and Genomics Expertise: Strong experience with large-scale datasets from public repositories, crucial
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Collaborate with leading researchers within and outside UVA Qualifications: U.S. citizenship required Ph.D. in Data Science, Statistics, Computer Science, Network Science, Physics, Engineering, Sociology