104 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Texas A&M AgriLife
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dataset annotation for computer vision model. Assist in data collection. Manages plants for research experiments in the greenhouse. Perform other duties as assigned. Qualifications: Currently enrolled
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certain U.S. government–funded projects may require verification of eligibility under federal regulations. Full-time remote work is not available for this position. However, partially remote work may be
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AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about how you can be a part of AgriLife and
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: Knowledge of laboratory maintenance and equipment. Knowledge of computers and computer software related to the position. Preferred: Knowledge of greenhouse, laboratory and field research involving plant
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, immune treatments and biosample collection. The position also requires experience in independently conducting laboratory analysis including quantitative and computer skills, and abilities to use laboratory
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homogenizing and weighing samples. The student has opportunities to learn basic analytical instrument usage including software and data interpretation. Prepares samples for DNA and RNA isolation for basic
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to the SIT project and other possible related projects - Excellent verbal and written communication skills - Ability to effectively use a computer to communicate, prepare proposals to include cost information
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. Knowledge, Skills and Abilities: -Knowledge of laboratory maintenance and equipment. Knowledge of computers and computer software related to the position. Please attach to your completed application: Resume
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to utilize a computer and applicable software to create databases, perform statistical analyses, present data and perform other computer related tasks, such as Microsoft Office. Preferred Special Knowledge
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of programming or scripting languages such as Python, Fortran, R or others. Experience in remote sensing data analysis and geographic information systems. Experience in machine learning motivated algorithms and