-
, 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
-
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
-
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
-
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
-
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
-
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
-
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
-
, mentorship, and a supportive culture that encourages personal and professional growth. Who we are: The research focus of the RAFSRU is conducted under the USDA ARS Human Nutrition National Program (NP107
-
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
-
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