Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
large animal models (pigs). Works with collaborators to develop preliminary data and analyze animal model outcomes. Develops tissue culture assays to support research goals and isolation of primary cells
-
routing calls to the appropriate clinical staff. This position will handle front desk tasks including data entry into the Electronic Management System and billing/insurance processing and inquiries. What
-
experience. Two years technical experience in veterinary medicine. Required Knowledge, Skills, and Abilities Basic computer skills. General understanding of equipment used in a veterinary medical hospital
-
experimental research on chemical treatment and resource recovery from high salinity waters. Data Interpretation and reporting and mentoring and supervision of undergraduate students in the laboratory. What you
-
, data input, and protecting confidential information according to the Family Educational Rights and Privacy Act (FERPA). Our ideal candidate will thrive in a fast-paced, team-oriented environment and have
-
analyzes financial transactions. Prepares and analyzes reconciliations for TDEM general ledger accounts, bank accounts, and state bank accounts. Data Entry - Records journal entries into FAMIS and USAS. What
-
addition, this position will be responsible for data analysis, reporting, and presenting the results in peer-reviewed journals and international conferences. What you need to know Salary: will be
-
Job Title Veterinary Technician - Large Animal ICU Agency Texas A&M University Department Vet Med-Teaching Hospital Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type
-
possess: Oceanography degree or completion of relevant coursework in physical oceanography, data analysis, and advanced math. Experience with oceanographic research. Experience working with large eddy
-
academic environment. Opportunities to Contribute: Clean research data and help with data analysis and visualization. Clean and organize large datasets using statistical software (e.g., Stata, R, or Python