98 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at Texas A&M AgriLife
Sort by
Refine Your Search
-
data and perform other computer related tasks. -Basic computer skills (Excel, Word, PowerPoint, OneNote) with willingness to learn advanced software related to specific research activities. -Ability
-
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
-
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
-
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
-
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
-
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
-
. 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
-
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
-
and Abilities: -Knowledge of laboratory maintenance and equipment. Knowledge of computers and computer software related to the position. All positions are security-sensitive. Applicants are subject to a
-
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