638 data-"https:"-"https:"-"https:"-"https:"-"MASSEY-UNIVERSITY" positions at Texas A&M University
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or rural economics.” In addition to research programs in residential, commercial, and rural land economics, the Center maintains administrative, data, and communications teams to support its research agenda
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, innovative research and team-based health care delivery. What we want The Postdoctoral Research Associate works with data PET-MRI, EEG, and fMRI data collected from on-going mechanistic clinical trials
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simultaneously in a fast-paced, mission-driven environment with a high degree of independence and sound judgment Additional Information Location Primary - Houston, TX 30% Expectation of occasional travel to Bryan
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media pages as needed. Respond to ad hoc requests, reporting information, and other issues as they pertain to the Center Why Texas A&M University? We are a prestigious university with strong traditions
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research projects in their field of expertise. Assists with the preparation and cleaning of the worksite. Analyzes research data and summarizes results. Writes and may contribute to research papers, articles
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also support admissions processing by evaluating candidates, contributing to committee discussions, and compiling key program data. This position plays a vital role in event planning, office operations
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equipment and compiling data. May provide technical assistance in research projects in the area of small animal gastrointestinal function and disease What you need to know Salary: $20.67/hour Location
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. Applicants should provide contact information for three references. Review of applications will begin on April 1, 2026, and continue until the position is filled. Questions regarding this position should be
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, and the community. Ability to work with sensitive information and maintain confidentiality. Excellent written and verbal communication skills. Time management, organizational, and prioritization skills
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, OSCEs in partnership with the Executive Director of Clinical Skills, NBME exams, narrative assessments). Monitor student performance and evaluation data to identify trends and opportunities