43 parallel-computing-numerical-methods-"Simons-Foundation" research jobs at Texas A&M AgriLife
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research program on food price forecasting and food e-commerce management. They will oversee the mentoring of graduate and undergraduate researchers and also contribute to grant and human research ethics
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computational methods for analyzing bioactive compounds. Expertise in assay development for new compounds and ingredients. Knowledge and abilities in managing laboratory personnel, inventory, and research
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Responsibilities: ·Mouse colony maintenance (breeding, genotyping, injections, record keeping). ·Perform RNA/DNA extractions, processing, and analytical methods (including qPCR and genomic library preparations
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professional activities. -Supervise part-time student labor to accomplish the research project. -Assist with and contribute to various program managerial activities. -Perform other job related duties as required
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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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analysis and method development of bioactive compounds. Investigate changes in bioactive compounds during postharvest handling processes. Collaborate with industry partners and collect samples from various
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the perspective of breeding, processing, and phenotyping.. Experience with grapevine breeding, mapping, and genomic selection. Job Responsibilities 25%: Method development for genomic selection and molecular
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Description The Postdoctoral Research Associate is responsible for designing, conducting, and summarizing research projects associated with dairy cattle heat stress experiments and develop associated computer
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proposals. -Other duties as required. Required Education: -Ph.D. in Soil and Crop Sciences, Statistics, Data Science, Computer Science, Agricultural Engineering, or a closely related field. Required Knowledge
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techniques (e.g., column chromatography, HPLC, flash chromatography). Perform structural characterization of natural products using spectroscopic methods (NMR, MS, IR, UV-Vis). Conduct bioassay-guided