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evidence of feeding/ predation on onion thrips. The second year of this effort will focus on testing the few selected natural enemies (i.e., based on molecular data, we select species with a high proportion
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statistical and geospatial software (R, ArcGIS, QGIS) and atmospheric dispersion modeling (AERMOD, WindTrax, CALPUFF) is strongly preferred. Ability to multi-task and work cooperatively with others. Why Work
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in a multidisciplinary team. What You Need to Know Salary: Compensation for this position is commensurate based on the selected candidate’s qualifications. Funding: This position is funded for a one
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). Knowledge and abilities with advanced analytical techniques such as LC-MS, GC-MS, Raman spectroscopy, and NMR for compound identification and metabolic profiling. Familiarity with statistical modeling and
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for this position is commensurate based on the selected candidate’s qualifications. Position Funding: This position is funded for one year, with the possibility of extension contingent upon performance and the
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Description Job Responsibilities: -Design and conduct experiments with honey bees and their associated parasites and pathogens. -Apply molecular biology, microbiology, and omics-based approaches to study host
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cooperatively with others. Other Requirements: This position is grant funded and availability is contingent on grant funding. What You Need to Know Salary: Compensation for this position is commensurate based
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techniques, including QPCR and 16S microbial community analysis. What You Need to Know Salary: Compensation for this position is commensurate based on the selected candidate’s qualifications. Position Funding
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are confidential. What You Need to Know Salary: Compensation for this position is commensurate based on the selected candidate’s qualifications. Why Work at Texas A&M AgriLife? When you choose to work for Texas A&M