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Description Job Responsibilities: 50% - Utilize graphical/network models and data integrations, including work on collaborative projects. 10% - Assist in maintaining and upgrading, as necessary, our server
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in transcriptomics, and basic molecular techniques such as DNA/RNA isolation, PCR and qPCR and statistical analysis using R or python based packages would be preferred. The position is available
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advanced analytical techniques for material characterization. High-quality research ability as evidenced by a strong publication record. Knowledge of sustainable food production and plant-based food trends
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/program conceptualization and development, grant proposal development, and other related activities. This position will focus on community-based intervention studies and/or longitudinal cohort studies
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of drylands Knowledge of and experience with hydrological modeling, Knowledge of and experience using remote sensing. Knowledge of and experience in planning and executing field studies related to dryland
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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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for leading research with mammalian animal model systems. Use multi-omic approaches to investigate the paternal and embryonic epigenomes. Have ample opportunities to collaborate with investigators and partners
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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