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of various regenerative agricultural/processing techniques and production/processing inputs (e.g., organic, hydroponics, algae treatment, fertilizer treatment, etc.) on the nutritional value of food; and/or 2
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://agriliferesearch.tamu.edu/ Texas A&M AgriLife Research Center at El Paso: https://elpaso.tamu.edu/ Texas A&M Department of Agricultural Economics: https://agecon.tamu.edu/ Application Procedure: Applications will only be
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of Dr. Kiran Gadhave (The Gadhave Lab: https://tx.ag/gadhavelab). Responsibilities: Knowledge of the basic concepts, principles, and techniques in agriculture, and greenhouse operations. Collects samples
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. The Stephenville Center recently began operation and management of the Slaughter-Harris Ranch, a 900-acre (365 ha) property with 3 domestic wells for livestock production research and Brazos River water rights
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: Compensation for this position is commensurate based on the selected candidate’s qualifications. Additional information about Texas A&M AgriLife Research is available at: Texas A&M AgriLife Research: https
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. Attends weekly meetings throughout the school year to discuss program implementation. Enrolls in and completes the Master Wellness Volunteer program (https://agrilifeextension.tamu.edu/asset-local/master
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AgriLife and make a difference in the world! Position Information The Meat Science Laboratory Technician, under general supervision, oversees the processing of beef, pork, and lamb carcasses and maintains
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to recurring or unusual administrative problems. -Supports the promotion and tenure committee chair with the faculty promotion and tenure process. -Assists with faculty hires, reclassifications and
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or learning, are predominantly intellectual and varied in character, and require consistent use of discretion and judgment. Prepare proposals for funding agencies, operation of research equipment
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, Skills, and Abilities: -Familiarity with appropriate laboratory and/or technical equipment. -Ability to effectively utilize a computer and applicable software to create databases, perform statistical