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) advanced Finite Element (FE) analysis with particular emphasis on the use of LSDYNA for simulation of crash analysis and roadside safety. This work increasingly emphasizes reliability-based performance
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experience in a liberatory education context, e.g., Freedom Schools, Rites of Passage programs, especially with programs serving adolescents. The Associate will lead and support efforts to implement and expand
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proficient in writing, editing and overall communications skills required. The individual will be expected to hold very high standards in how information is developed and presented. Ability to lead, document
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socially marginalized communities. The position will lead data management and analysis for ongoing research projects. There will be opportunities for authorship on publications, presentation at conferences
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for an ambitious computer scientist/software engineer to be involved as a lead in a project of this scope and impact and is ideally suited for individuals with career aspirations to lead efforts in drug discovery
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. An important component of this position will be to work as part of an interdisciplinary team spanning across the colleges of engineering, medicine, and science. The successful candidate will be required to lead
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, and needs as articulated by the community. The center aims to promote partnerships across disciplines and organizations that lead to improved continuity of youth mental health and wellness services in
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interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory workflows. This position offers the opportunity to lead integrative projects
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candidate will lead research activities into the use and value of industrial byproducts in transportation infrastructure in support of a United States Department of Transportation funded initiative
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supervision of Drs. Zorimar Rivera-Núñez and Emily Barrett to advance research on endocrine-disrupting chemicals in relation to maternal and child health outcomes. The Post Doctoral Associate will lead data