919 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Texas at Austin
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studies include collecting multimodal behavioral and electroencephalography data, eyetracking, computational modeling, and analyzing existing data. The candidate will report directly to Professor Holt and
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Description The Department of Computer Science of the University of Texas at Austin is recruiting for full-time, professional track faculty (Lecturer, Assistant Professor of Instruction, Associate
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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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Fellows Program for the 2026-27 academic year. This highly selective program provides a full year of salary support to enable ambitious scholars to focus entirely on the advancement of their research and
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program evaluations, provide insights and analysis, and recommend programmatic changes to achieve milestones and post-graduation student outcomes. This role is critical in using data-driven insights
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of Texas, the surrounding area of Texas, and elsewhere. Be involved in analyzing data collected from the TexNet earthquake monitoring and seismology research program. Provide synthetic models calibrated by
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candidates who can contribute to excellence within the health learning system. About The Department of Population Health The Department of Population Health includes a wide range of MD and PhD faculty
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. Required Qualifications · PhD in Geophysics · Experience with land seismic acquisition, DAS, and time-lapse monitoring · Proficient in computer programming · Extensive publication and presentation record
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department provides excellent research support through its strong PhD program, other graduate and undergraduate assistants, and extensive research funding. The department is home to five thriving centers and
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for new instrumentation grants. Required Qualifications PhD in chemistry or biochemistry or related field. Extensive experience (at least four years) with running mass spectrometric analysis using a variety