24 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" Postdoctoral positions at Texas A&M AgriLife
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Description The Postdoctoral Research Associate will examine the epigenetic regulation of the paternal genome and subsequent role in embryo development in the Luense Lab (https://animalscience.tamu.edu/people
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. Professional demeanor. Ability to multi-task and establish effective working relationships. Additional information about Texas A&M AgriLife Research is available at: Texas A&M AgriLife Research: https
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make a difference in the world! Position Information Texas A&M AgriLife Research – Dallas Center (https://dallas.tamu.edu/ ) is seeking a highly motivated individual to join the Controlled Environment
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(http://agriliferesearch.tamu.edu ) is the state’s premier research agency in agriculture, natural resources, and life sciences. A member of the Texas A&M University System, Texas A&M AgriLife Research
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co-author multiple high-impact peer-reviewed publications. Performs other duties as assigned. Required Qualifications: A Ph.D. in Geospatial Analytics, Agricultural Engineering, Hydrology
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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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: Building conceptual causal loop diagrams (CLDs) to represent farm-level feedback structures. Developing and calibrating a quantitative system dynamics (SD) model to simulate alternative dairy management
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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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how you can be a part of AgriLife and make a difference in the world! Position Information Job Responsibilities 95%: Conduct research in structural biology 5%: Performs other duties as assigned
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, and an interest in research in developing country contexts or fragile and conflict-affected settings. Experience integrating multiple data sources (e.g., survey, administrative, and spatial data) is an