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. Data formatting, backup, and statistical analysis using data analysis software. Troubleshooting instrumentation for conduct of experiments. Writing research protocols and reports. Required Qualifications
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Institute (LRI) and the Institute for Urban Research and Policy Analysis (IUPRA) at UT Austin seek four postdoctoral research fellows in public policy. The ideal candidates will have a track record in both
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Campus in North Austin. Purpose This position aims to advance innovative processing and acquisition methodologies for land DAS and dense surveys, focusing on synthetic modeling, 4D analysis, and seismic
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communicating scientific findings to a broad audience. Preferred Qualifications Experience in sediment geochemical analysis, familiar with sediment sulfur/sulfide analysis and data interpretation. Experience with
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of sedimentology, geochemistry, and microbiology, and general use of destructive, extraction-based methods that are designed for the analysis of large sediment samples. These bulk methods are quantitative but
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Start Date: Immediately ---- Position Duration: Expected to Continue Until Apr 20, 2026 ---- Location: AUSTIN, TX ---- Job Details: General Notes PhD must have been received within the past 3 years
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development, IRB submission, informed consent, data collection and analysis, abstract submission, data presentation, and manuscript preparation as part of a multidisciplinary team. Perform other related duties
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with data collection, potentially delivery of evidence-based psychotherapy (for candidates with a PhD in clinical or counseling psychology), analysis of clinical outcome and functional magnetic resonance
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open science. Prepare and lead manuscripts for publication related to study aims. Mentor Ph.D. students and/or research assistants in data analysis, manuscript preparation, and other research activities
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mapping project involves acquisition of high-resolution modern satellite imagery and the application of deep convolutional neural networks (DCNN) for image analysis. Candidates for the position are expected