92 computer-programmer-"Multiple"-"O.P"-"U"-"University-of-Michigan" positions at Texas A&M AgriLife
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. - Implements and maintains data collection and summarization of field trials. -Collect and compiles data. Computes quantitates and extends projections. -Assembles and operates technical equipment. -Performs
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. Research experience working with enzymes, particularly proteases and amylases, UV-Vis spectroscopy and Chromatography (HPLC, LC/MS). Required Knowledge, Skills and Abilities: Basic computer skills (data
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social science issues in Texas. Design, plan, conduct, and coordinate experiments and studies in support of various interdisciplinary research projects, including both environmental and social dimensions
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dataset annotation for computer vision model. Assist in data collection. Manages plants for research experiments in the greenhouse. Perform other duties as assigned. Qualifications: Currently enrolled
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Job Description Responsibilities: Experimental design & execution - plan and conduct molecular biology, plant transformation, and tissue-culture workflows, Perform pathogen and nematode disease assays
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, environmental regulations, and livestock agriculture are highly preferred. High-level computer and instrumentation competence is preferred. Agency Description: Texas A&M AgriLife Research is an independent
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. Required knowledge, abilities and skills: Ability to plan, organize, and implement research activities independently with moderate supervision. Proficiency in employing both qualitative and quantitative
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, SSOPs, the E-Coli Plan, and all food safety records, as well as records of yields, costs, disposition, and sale of animals, carcasses, meat products, and dairy products processed and sold at the Rosenthal
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and computer skills. Ability to multi task and work cooperatively with others. Other Information: The postdoctoral research associate position is involved in different projects conducting research
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: Expertise in interpreting LC-MS, GC-MS, Raman spectroscopy, and NMR data. Experience in metabolic profiling and quantification of bioactive compounds in plants. Familiarity with computational modeling