12 computer-programmer-"IMPRS-ML"-"IMPRS-ML" research jobs at Texas A&M University System
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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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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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documentation of research. Good computer and communication skills. Ability to multi-task and work cooperatively with others. **Position is contingent on funding availability** Job Responsibilities: Laboratory
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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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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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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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. -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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, 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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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
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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