9 software-testing-short-course-"Prof" Postdoctoral research jobs at University of Virginia
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learning, small data learning · Active learning, Bayesian deep learning, uncertainty quantification · Graph neural networks This position involves active participation in a well-funded
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well as testing effectiveness of implementation supports (e.g., professional learning communities and coaching). Responsibilities: Coordinating data collection and analysis activities. Developing and disseminating
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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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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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.), 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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; starting with 22 days of paid time off a year in addition to 12 or more paid holidays; 8 weeks of paid parental leave; short term disability; up to $4,360 after your first year for combined use of tuition
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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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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
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.03278-23 . PML-NB-dependent type I interferon memory results in a restricted form of HSV latency. Suzich J et al. EMBO Rep. 2021 Sep 6;22(9):e52547. doi: 10.15252/embr.202152547 . The ideal candidates