125 multiple-sequence-alignment positions at Wayne State University in Ireland-University-Ranking-2024
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statistical, computational and bioinformatic methods as required by research projects. Familiarity with integration and interpretation of multiple genomic data types, including sequencing, transcriptomic
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single visit or sequentially in a facility to minimize planned downtime and prevent multiple LOTO (lock-out / tag-out) and prep work disruptions. The position will report to an Associate Director
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tracks projects and initiatives across multiple student success units. This role designs and maintains transparency of strategic initiatives in alignment with the priorities of the university’s broader
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Director serves a critical organizational role by aligning clinical quality improvement initiatives, research initiatives, and HIV syndemic (including STD, TB, and viral hepatitis) workforce development
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project lifecycle, from initiation through delivery, while ensuring alignment to scope, schedule, budget, and measurable outcomes. The Project Manager partners with executive leadership, cross-functional
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. The CED works with the GRACE team and its goals to keep local, regional, state, and federal-level engagement aligned and strategic, and may support other advocacy activities as needed. The CED collaborates
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electrophoresis, immunoblotting, transfection, gene knockdown, genome editing, and related molecular assays. - Prepare samples for genomic and transcriptomic analyses, including RNA sequencing, CAGE sequencing
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experience aligned with established program goals. This role also serves as a K–12 liaison for youth programming across campus, connecting campus partners with Enrollment Management recruitment and yield
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marketing projects from inception to completion, ensuring they meet their objectives in alignment with the university’s communications and marketing plan, and are delivered on time, within scope, and budget
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interest in cancer and epidemiology. This role offers the opportunity to contribute to various projects utilizing -omic data (e.g., GWAS, sequencing, RNA-seq, ATAC-seq) and integrating publicly available