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to multi-task and work cooperatively with others. Preferred Qualifications: PhD in neuroscience. Experience in neuroscience research. Hands-on experience in pain research. Strong background and skills in
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Research Associate will also be playing a supporting role in ongoing research projects and assisting with the mentorship of junior lab members. Opportunities to Contribute Design and program experiments
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, Mathematics, Computer Science, or a closely related field. Demonstrated expertise working with multivariate time-series and spatiotemporal datasets. Advanced proficiency in Python. 1–2 years of hands
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support to attend conferences, workshops, and more Educational release time and tuition assistance for completing a degree while a Texas A&M employee Living Well, a program at Texas A&M that has been
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financial support to attend conferences, workshops, and more Educational release time and tuition assistance for completing a degree while a Texas A&M employee Living Well, a program at Texas A&M that has
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Texas A&M University, Department of Mathematics Position ID: TAMU-POSTDOC1 [#26944] Position Title: Position Type: Postdoctoral Position Location: College Station, Texas 77843, United States of America [map ] Appl Deadline: 2025/11/15 11:59PM (posted 2025/09/02, listed until...
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independently. Must be able to organize and manage a varied range of assignments and projects with high efficiency. Able to work with database, graphing, word processing, and statistical computer programs such as
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release time and tuition assistance for completing a degree while a Texas A&M employee Living Well, a program at Texas A&M that has been built by employees, for employees Our Commitment Texas A&M
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to obtain access to NOAA Computational Facilities. This position is contingent on extramural funding. WHO WE ARE Texas A&M University-Corpus Christi is a vibrant, Hispanic and Minority Serving Institution
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the potential of targeting a haplolethal gene for effective genetic control of Ae. aegypti populations. The modeling aspect of the project will focus on developing computational models to analyze the intricate