44 assistant-professor-computer-science-data-"https:"-"https:" Postdoctoral positions at Texas A&M AgriLife
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approaches to reduce nutrient losses from manure and improve nutrient cycling in livestock–crop systems. Responsibilities Complete data analysis for the ammonia-deposition project (ADAPT Phase I
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AgriLife and make a difference in the world! Position Information Texas A&M AgriLife Research – Dallas Center ( https://dallas.tamu.edu/ ) is seeking a highly motivated individual to join the
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Qualifications: PhD degree in a field related to the tasks above Preferred Qualifications: PhD degree in a field related to the tasks above within the broader theme of remote sensing, computer science, or
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: - Appropriate PhD in genetics, soil and crop sciences, computer science, remote sensing or related fields. -Required experience in manuscript submission and publication. -A drone license is required
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, DNA repair, etc..) based on candidate expertise and interest. -Collection of data and keeping of detailed records of results, as well as utilizing computer programs and databases to conduct analyses
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the whole project. We are looking for someone who is independent in field-based research and in molecular bioinformatics, and who sees genome data and disease ecology as one continuous line of work
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create databases, perform statistical analyses, present data and perform other computer related tasks, such as Microsoft Office. Preferred Special Knowledge, Skills and Abilities: -ImageJ and Matlab
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data Prepare manuscripts for peer-reviewed journals Prepare and deliver oral presentations to diverse audiences Help oversee the activities of the Science Communications Team Required Qualifications
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other molecular biology analyses. May assist and supervise graduate and undergraduate students. 25% Cloning molecular biology 25% Plant bioassay 20% Record and analyze data/results 10% report research
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. Tracy Herbarium collections and targeted field collections. Generate, manage, analyze, and synthesize genomic, phenomic/spectral, trait, spatial, environmental, and taxonomic data. Conduct