10 non-coding-"Data-driven-Materials-Modeling" Postdoctoral positions at Texas A&M AgriLife
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. Texas A&M AgriLife will NOT pay this fee. If the fee is imposed on your petition, this offer of employment will be revoked. If actions taken during your employment result in the imposition of this fee
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available immediately, and while an early start is preferred, we encourage qualified candidates to apply even if they are not able to begin right away. Texas A&M AgriLife is an organization that supports
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knowledge or experience in molecular techniques such as metabarcoding is preferred, but not necessary. -Must be comfortable working and handling insects. -Must have excellent verbal and written communication
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with molecular assays (cell cultures, histology, PCR, Gel Electrophoresis, qPCR, etc.). - Experience with data management, statistical analysis (including but not limited to, probit models
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: Ability to interact effectively with various groups including the public, agricultural interests, city and county officials, non-profit and environmental advocacy organizations, river authorities and water
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are not limited to leading and collaborating on manuscript preparation from relevant studies (e.g., data analysis, writing, and submission), contributing to conference presentations and reports, and
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. Experience engaging with stakeholders, community groups, government agencies, or other non-academic audiences. Interest in policy-relevant research and interdisciplinary collaboration. Knowledge, Skills, and
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position, a current driver's license is required. The laboratory works with machine-learning and AI-assisted tools as part of routine research practice. Prior formal experience is not required, but
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attend professional development trainings -Perform other duties as assigned by the PI. Required Education: Ph.D. degree in relevant disciplines including but not limited to: Environmental Microbiology
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include, but are not limited to: Responsibilities Design, build, and integrate robotic and automated systems, including end-effectors, manipulators, and sensor-actuator networks. Lead mechanical, electrical