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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
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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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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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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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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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, therapeutic development. His lab employs a multidisciplinary approach, comprising biochemistry and cellular biology as well as global transcriptomic, epigenomic, and 3D chromatin structure analyses, using
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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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. Minimum Qualifications: Education: Ph.D. or equivalent in engineering, physics, chemistry, or any biomedical science Preferred Experience: A strong background in the theoretical and experimental aspects