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, computation biology or a related field Preferred Experience/Skills: Experience in graphical network models, data integration. Experience with single-cell RNA seq data. Required Knowledge, Skills and Abilities
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Life Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings
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Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together
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pathogens. Required knowledge, skills and abilities: Good computer and communication skills. Ability to multi task and work cooperatively with others. Please attach to your completed application: -Resume/CV
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to synthesize information, write and publish. Good communication and computer skills Ability to lead research projects Ability to direct students Preferred Knowledge, Skills and Abilities: In-depth knowledge
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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, ImageJ, Chimera, and Matlab
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computer skills. -Ability to multi task and work cooperatively with others. Preferred Knowledge, Skills and Abilities: -Experience with student mentorship and providing instruction on relevant topics
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Description Responsible for modeling and climate-smart farming in beef cattle and bison production using precision livestock farming technologies, specifically greenhouse gas emissions. The program seeks
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records of results, as well as utilizing computer programs and databases to conduct analyses. -Perform experiments needed to evaluate the nutritional status of various engineered microbes for gene edited
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communication, computer, and presentation skills. Ability to multi task and work cooperatively with others. Preferred Knowledge, Skills and Abilities: -Strong publication record in relevant scientific journals