134 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Texas A&M AgriLife
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hour Schedule weekly hours: 19 hours Cover Letter & Resume A cover letter and resumé are requested. You may upload these documents on the application under CV/Resume. Applicant Information: Participation
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policies and academic processes. Experience using university systems such as Workday, Howdy, Compass, or similar platforms. Experience handling confidential student information. All positions are security
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make a difference in the world! Position Information Responsibilities: Provides administrative support in the areas of promotion and tenure, and faculty hiring. Organizes and maintains files, databases
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experiments in support of various research projects -Evaluate, select, and apply standard techniques of the research; keep detailed records of data. Plans, implements, coordinates, monitors, and evaluates
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Phenomic prediction programs that incorporates genotype (genotype by sequence) and phenotype data (from traditional and high throughput, remote sensing sources) -Use or develop R programming code to complete
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, exercise physiology, health communications, public health, social sciences, life sciences, engineering, data and computation science, and economics. Healthy Living implements, evaluates, and disseminates
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Knowledge, Skills, and Abilities: Knowledge of laboratory maintenance and equipment. Knowledge of computers and computer software related to the position. Good interpersonal skills, professionalism and
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Job Description About the role We’re seeking a highly organized, quantitatively strong part-time professional to lead project management, data collection, and data analysis across research and outreach
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, Workday, or similar platforms. Experience handling confidential student or personnel information. Knowledge, Skills, and Abilities Strong organizational and time-management skills with attention to detail
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Description Responsibilities: Develop and manage research projects related to dairy health and management. Collect, organize, and analyze data from dairy herds using advanced statistical and computational tools