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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 month ago
Preferred Experience, Skills, Training/Education: 1. Ph.D. in Industrial Engineering, Biomedical Engineering, Data Science, Computer Science, or related fields. 2. The candidate is expected to have a strong
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samples and characterize dynamic behaviors. The candidate will be part of a highly collaborative team and actively interact with other groups, including optics, computation, and time-resolved research
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project that will illuminate aspects of historic and/or current antisemitism. The recipient will be affiliated with the Center for Jewish Studies, the Julis-Rabinowitz Program on Jewish and Israeli Law at
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to hiring managers/committees and is not considered in hiring or employment decisions. Assistance and Accommodations Computers are available for application submission at the Human Resources Department
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Requirements Strong computing and strong background/expertise in clustered data, survival data, causal inference or measurement error are desired. Strong written communications Additional Information: Per
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
that can incorporate multi-scale computational simulations to aid with data fusion across multiple modalities of experiments with the final goal of discovering novel materials phenomena or even new materials
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Qualifications Relevant Ph.D. in Electrical Engineering or Computer Science or related fields. Solid background in power systems dynamics and modeling including load flow, short-circuit, and contingency analysis
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experience in the analysis of DNA sequences. Prior experience using R or other programming language(s) (e.g. Matlab, Python, Linux). Basic organizational and computer skills (MS Word, Excel, and PowerPoint
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of wet-lab and computational methods including but not limited to next-generation sequencing and data analysis, spatial transcriptomic sequencing and analysis, single-cell studies, advanced cell
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and Experience: Bachelor's degree in a relevant field (e.g., Biology, Psychology, Engineering, Computer Science, Sociology, or a related discipline aligned with the specific area of research or project