25 data-"https:"-"https:"-"https:"-"https:"-"Dr" Postdoctoral positions at Texas A&M AgriLife
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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 through
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soil and crop interaction. -Conduct lab experiment, analyze data, writing research papers, and presenting results at professional meetings. -Assist with the preparation and cleaning of worksite. -Other
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Phenomic prediction programs that incorporates genotype (genotype by sequence) and phenotype data (from traditional and high throughput, remote sensing sources) -Use or develop R programming code to complete
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positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required
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Description Responsibilities: Develop and manage research projects related to dairy health and management. Collect, organize, and analyze data from dairy herds using advanced statistical and computational tools
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Job Description Job Responsibilities: Carry out research in controlled environment horticulture, including planning and running experiments. Collect, organize, and analyze data. Write and contribute
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Staff Job Description Qualifications Required Education: PhD in Biochemistry or related field Preferred Experience: Mass spectrometry data acquisition and analysis NMR data acquisition and analysis
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up experiments • Collect and analyze soil, water, mineral, and wastewater samples • Use analytical equipment or work with data from analytical equipment (e.g., ICP-OES or ICP-MS, XRD, FTIR, EA, EA-IRMS, etc
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Staff Job Description Job Responsibilities 50%: Lab research - Design, plan, conduct and coordinate experiments in a wet lab as well as using computers. 20%: Communication - Keep detailed records of data
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knowledge, abilities, and skills: Excellent communication skills; knowledge of program R, ArcGIS, spatial analysis, common statistical approaches to wildlife data, ability to operate under adverse field