15 phd-in-civil-and-structural-engineering Fellowship positions at University of Texas at Austin
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with NCI, CPRIT, and NIH-funded projects. Required Qualifications PhD in computational biology, bioinformatics, computer science, information science, biomedical engineering, or a related field. PhD must
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the last three years in Earth Science (e.g. Hydrology, Hydrogeology, Geology, Geography), Civil Engineering, or closely related field. Demonstrated experience and aptitude in a hydrology context with: (a
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. Hydrology, Hydrogeology, Geology, Geography), Civil Engineering, or closely related field. Demonstrated experience and aptitude in a hydrology context with: (a) data analytics, wrangling, management, and
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. Hydrology, Hydrogeology, Geology, Geography), Civil Engineering, or closely related field. Demonstrated experience and aptitude in a hydrology context with: (a) data analytics, wrangling, management, and
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based on the research results. Other duties as assigned. Required Qualifications PhD earned within the last 3 years in Operations Research and Industrial Engineering or a closely related discipline, with
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of manuscripts on newly developed methodologies and their experimental outcomes. Required Qualifications PhD in marine, microbiological, molecular biological, chemical, geological, engineering, or other
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communication processes for accessible climate science information. Co-designing youth participatory action research initiatives. Required Qualifications PhD received within the past 3 years in social sciences
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presentation, and manuscript preparation as part of a multidisciplinary team. Perform other related duties as assigned. Required Qualifications Doctoral degree, MD or PhD received within the past 3 years
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Start Date: Immediately ---- Position Duration: Expected to Continue Until Jun 26, 2026 ---- Location: AUSTIN, TX ---- Job Details: General Notes PhD must have been received within the past 3 years
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sets and provide interpretations of results from these analyses for reports, manuscripts, and internal research briefs. Ensure reproducibility of analyses through principled programming, structured