22 graduates-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Texas A&M AgriLife
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and grants. -Assists mentoring, and/or supervising student researchers and/or graduate students who are working on research related to the phenomics, quantitative genetics, and corn breeding program
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mentoring graduate and undergraduate student researchers involved in related projects. Presentations and Reporting Prepares and presents research findings at laboratory meetings, scientific conferences, and
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. Disseminates research findings through peer-reviewed publications and presentations at national and international scientific conferences. Mentors graduate and undergraduate students, assists with laboratory
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in order to artificially bolster populations for augmentative biological control schemes. -Train and supervise undergraduate and graduate students. -Collect, organize, and analyze data for use in peer
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of neutralizing antibodies, and arbovirus epidemiology. The successful candidate will have opportunities to develop independent research, mentor graduate and undergraduate students, and contribute to grant
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practices. The successful candidate will have the opportunity to contribute to developing educational outreach materials, mentor undergraduate and graduate students, and participate in grant writing. Required
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. Preparation plant variety protection documents, manuscripts, and reports. Guide personnel, including graduate students and postdoc on genomic research. Assist in the preparation of proposals for extramural
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. Mentoring graduate and undergraduate students, Performs other duties as assigned Required Qualifications: Appropriate doctoral degree. Demonstrated experience in biological control and integrated pest
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role in team management of lab with graduate and undergraduate students, and postdoctoral associates. Required Education: -PhD in related field Preferred Experience: Strong record of research
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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