11 machine-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Texas A&M AgriLife
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breeding program. This requires a Ph.D. with excellent knowledge and skills in drones / UAV / UAS data collection, processing, statistical analyses, AI (machine learning, deep learning) and subsequent
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compliance (5%). •Conduct research on artificial intelligence (AI) and machine learning (ML) to analyze large-scale biological, genomic, metabolomic, and phenotypic dataset (25%). •Investigate the genetic
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..) 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. -Evaluate data, drafts
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-truth data collection, and operating, testing, validating, and refining crop models to improve prediction accuracy. The candidate will also contribute to the development and application of machine
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-validation by droplet digital and real-time PCR. Contribute to the host–microbiome analyses (GWAS/mGWAS, metagenomics) and the integrative modeling led by the graduate student. Apply machine-learning and AI
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utilize computational systems and applicable software, including breeding databases, perform statistical analysis, present data, and perform other computer-related tasks. Excellent written and oral
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an international team. -Ability to multi-task and work cooperatively with others. -Ability to utilize a computer and applicable software to create databases, perform statistical analyses, present data and perform
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. Ability to multitask. Work cooperatively with others. Good communication and computer skills. Ability to develop, implement and analyze advanced quantitative date analyses. Why Work at Texas A&M AgriLife
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to communicate, prepare proposals to include cost information on spread sheets as applicable and provide reports of activities Ability to effectively communicate with faculty, students and staff
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AI or machine learning applications. Formal training or professional experience in audio engineering, recording arts, or signal processing. Experience with acoustic software platforms (e.g., Pro Tools