11 construction-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Texas A&M University
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presentation materials on research topic that may be presented to small and/or large groups. Actively participates in the preparation of required technical progress reports to research sponsors. Construct graphs
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these perspectives into the landscape and survey models. With project partners, make sure that new data and legacy data are properly maintained with metadata kept to international standards. With project partners
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BlaC–substrate/inhibitor interactions when useful for structure-guided diagnostic development. Presentations Prepares presentation materials on research topic that may be presented to small and/or large
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-reviewed journals. Attend conferences to disseminate the ideas. Share the Python codes in a well-maintained GitHub repository for public use. Make R or Python package for widespread use of the methods. May
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area for structure-function analysis (PMID: 42270762). In addition, Dravid lab is working on the role of glutamate delta 1 in pain pathways and basal ganglia circuits with novel drug discovery approaches
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. The position offers opportunities to co-author publications, present findings to scholarly and practitioner audiences, contribute to open educational resources, and build expertise at the intersection
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of AgriLife and make a difference in the world! Position Information Position Description: In collaboration with others at Texas A&M and Texas Tech, our team will rapidly formulate a field-ready
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development, fluorescence/imaging, flow cytometry, or related methods. Experience with computational drug discovery, molecular modeling, structure-based design, or analysis software such as MOE, AlphaFold/Boltz
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structure data PREFERRED QUALIFICATIONS Experience with R software packages SALARY: $4,166.67 - $4,791.67 Monthly ($50,000 - $57,500 Annually Approximately) NOTE: This a grant-funded position. Continued
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advanced fMRI preprocessing with fMRIPrep pipeline (inBIDS -Brain Imaging Data Structure -environment). Ability to perform seed-to-voxel and voxel-to-voxel functional fMRI connectivity analysis with AFNI