21 assistant-professor-computer-science-data Fellowship positions at University of Texas at Austin
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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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, translational science, and patient-centered care, contributing to pioneering efforts in integrating multi-modal data for individualized cancer therapy selection. The lab leads multi-institutional projects
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account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount program
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considered at the rank of Assistant Professor, Associate Professor or Professor, non-tenured and tenured. The Dell Medical School is part of The University of Texas at Austin, one of the nation’s leading
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of single sedimentary particles for downstream DNA extraction, sequencing, and potentially cultivation. Assistance with the establishment of Oxford Nanopore DNA sequencing technology and implementation of a
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, applying data analytic techniques, mapping data using GIS. Writing reports and publications and presenting results at regular meetings and professional society meetings. Assisting with proposal development
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account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount program
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Qualifications Doctoral degree in communication studies, journalism, political science, public administration, economics, information science, or related fields within the last three years. Strong record
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collection, including cognitive assessments such as computer-based testing, questionnaires, and health measurements, as well as brain measures such as electroencephalography and near-infrared spectroscopy
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therapy) on reward circuit function (assessed through functional magnetic resonance imaging; fMRI) and information encoding (assessed through computational models of reward-processing task behavior) under