15 structures-"https:"-"https:"-"https:"-"https:"-"https:" positions at Texas A&M AgriLife in United States
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crop improvement. The successful candidate will work on chromosome-scale genome assembly, gene annotation, structural variation discovery and development of genomics tools to accelerate breeding across
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trials including removing shavings, pressure washing, cleaning pen panels/feeders, structural cleaning to ensure proper environment for high quality research. Cool cell pads (the pads are paid for by SSC
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and monitor budgets and operating plans to support mission of the facility and department in coordination with Livestock Operations manager and McGregor manager. -Construction and maintenance of fences
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of HTML, CSS, and content structure within a CMS. Preferred Education and Experience: Bachelor’s or higher in Computer Science, Web Development, or a related field. More than two years of experience working
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, and the Texas A&M AgriLife onion projects • Conduct whole genome structural and functional analysis in vegetable crops • Manage marker-assisted selection in vegetable crops and collect plant
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structures, archaeological sites, Sacred sites, and Traditional Cultural Places. -May supervise staff and students - Other duties as assigned. Required Education and Experience: -Bachelor’s degree in
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: -Ph.D. in biological, chemical, or physical sciences Preferred Experience: -Experience in a molecular biology, biochemistry, or structural biology lab Required Special Knowledge, Skills, and Abilities
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for model inputs, calibration, and validation. Documentation and Reporting: Meticulously document data processing, model structure, and modeling approaches. Deliver all modeling outputs on time. Model
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. Familiarity with computational modeling of structure-function relationship Experience in identifying metabolites in biological samples. Sufficient knowledge in statistical analysis tools (e.g., SAS, R, XLstat
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for vegetation indices (NDVI, NDRE, etc.), canopy structure, soil variability, and water stress analysis. Process raw imagery using photogrammetry and GIS software to generate orthomosaics and vegetation maps