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, implementing, and managing complex budgets • Experience in financial forecasting and analysis Job Description: The College of Liberal Arts and Sciences Finance team is seeking qualified candidates for a Budget
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systems and associated agronomic practices Experience with data analysis and statistical software commonly used in agronomic research Experience communicating research findings to stakeholders, sponsors
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the art, design, and craft of metal and related materials and practices. Areas of expertise will include contemporary and traditional techniques embracing sculptural and functional approaches to making
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surveys, retention metrics, and turnover analysis. Experience providing coaching to business executives and mid-level managers. Experience facilitating group discussions and strategic planning sessions
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interprets blueprints and drawings. • Performs general sheet metal work as required. • Welds using arc, gas, heliarc, and spot-welding techniques. • Assists in directing the work of apprentices. • Participates
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, Molecular Biology, Genomics or related field. Experience with Sanger sequencing data analysis, sequence assembly tools, and phylogenetic tree construction. Familiarity with quality assurance standards and
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professionals, 70 Ph.D. students, 10 postbaccalaureate and M.S. students, and approximately 170 B.S. students. We have strong research and educational programs in discrete mathematics, algebra, logic, analysis
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). The degree track prepares students in geospatial and sensor technologies, precision agricultural systems, and data analysis and modeling, to enable data-driven decisions that improve economic and environmental
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professionals, 70 Ph.D. students, 10 postbaccalaureate and M.S. students, and approximately 170 B.S. students. We have strong research and educational programs in discrete mathematics, algebra, logic, analysis
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Analyst to support research and policy analysis in the areas of early childhood, family support, and economic well-being. This role is ideal for analysts with a strong foundation in applied inferential