40 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Texas A&M AgriLife in United States
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county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about
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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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to communicate, prepare proposals to include cost information on spread sheets as applicable and provide reports of activities Ability to effectively communicate with faculty, students and staff
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Required Knowledge, Skills and Abilities: -Knowledge of laboratory maintenance and equipment. -Knowledge of computers and computer software related to the position. Ability to multi task and work
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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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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