30 computer-programmer-"FEMTO-ST"-"FEMTO-ST" Postdoctoral positions at Texas A&M AgriLife in United States
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Job Title Postdoctoral Research Associate Agency Texas A&M Agrilife Research Department Rangeland, Wildlife & Fisheries Management Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff Job Description Description The Texas A&M Center for Grazinglands and Ranch...
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conservation organizations. Required special knowledge, abilities, and skills: Good communication and computer skills. Ability to multi task and work cooperatively with others. Preferred special knowledge
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and 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
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, computation biology or a related field Preferred Experience/Skills: Experience in graphical network models, data integration. Experience with single-cell RNA seq data. Required Knowledge, Skills and Abilities
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genetic knockouts in yeast and mammalian cell lines, and protein purification. Job Responsibilities: 35%: Computational algorithm development and data analysis 35%: Design and conduct experiments with yeast
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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 together
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communication, computer, and presentation skills. Ability to multi task and work cooperatively with others. Preferred Knowledge, Skills and Abilities: -Strong publication record in relevant scientific journals
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record. Ability to multi-task and work both independently and cooperatively with others. Preferred Knowledge, Skills, and Abilities: Strong computational and data analytics skills Modeling experience
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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
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. Familiarity with computational modeling of structure-function relationship Experience in identifying metabolites in biological samples. Sufficient knowledge in statistical analysis tools (e.g., SAS, R, XLstat