105 linked-data "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CSIC" Postdoctoral positions at Texas A&M University System
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conducting pharmacological studies in the research lab, including epilepsy and seizure models, and brain disease paradigms. This position is responsible for data compilation, analysis, interpretation
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hydrology, climate-smart agriculture, and extreme event analysis (floods and droughts). The role involves addressing complex soil–water–waste interactions using experimental, field-based, and data-driven
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data, and contribute to scholarly publications. You'll also prepare and present research findings, develop grant proposals, and mentor student researchers. Additionally, you'll have the opportunity to
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cores and geologic materials, participation in offshore research cruises and onshore training workshops, and conducting geoarchaeological fieldwork and data interpretation. This role is a unique
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serotypes relevant to cattle and food safety. The Postdoctoral Research Associate will design and perform infection and time-course experiments, generate and analyze host and bacterial transcriptomic data
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and containment protocols. Data Analysis, Documentation, and Reporting - Maintain accurate experimental records, analyze quantitative genetic and molecular data, prepare figures and summaries, and
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. The successful candidate will play a key role in advancing the laboratory’s research program through the development of new technologies, data analysis, and contributions to scientific publications
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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
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editing, and analysis of results Data Compilation Recover, compile and verify accuracy of research data, Interpret and report on experimental results. Operate analytical instruments Records Management
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-Doctoral Researcher to support applied research projects focused on grazing management and soil health. This position will lead the analysis and interpretation of soil data already collected across