16 application-programming-android-"Multiple" research jobs at Texas A&M University System
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practices. Design and implement a "Train the Trainers" program to build the capacity of conservation professionals, NRCS field staff, and other technical service providers. Help organize a topical summit
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physiological experiments to elucidate factors critical for nutrient transport and successful feeding. -Collection of data and keeping of detailed records of results, as well as utilizing computer programs and
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related duties as assigned. Required Education and Experience: --Bachelor’s degree with a strong natural resources component such as Biology, Wildlife, Natural Resources, or other closely related program
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, linear or nonlinear programming for building ration formulation programs, and knowledge of particular programming languages. Ability to engage with a multidisciplinary team, NRCS personnel, and other
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in genomics, genetics, and statistical analyses. Experience with transcriptomic and epigenomic data analysis. Proficiency in programming languages, such as R and Python, for data analysis and
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research (50%) Planning and documenting of research (10%) Oversight of undergraduate research (30%) Performs other duties as assigned (10%) All positions are security-sensitive. Applicants are subject to a
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. -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. Required Education
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and personnel in the weed science program. Further, the candidate will assist the program with communications, accounting, report preparations and other administrative duties as assigned. A strong work
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application: CV Cover Letter List of publications and grants List of references (3) with email and daytime phone number(s) All positions are security-sensitive. Applicants are subject to a criminal history
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records of results, as well as utilizing computer programs and databases to conduct analyses. -Perform experiments needed to evaluate the nutritional status of various engineered microbes for gene edited