18 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at University of Texas at Austin
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. Experience with the use of electronic medical records and clinical data. Self-direction, critical thinking skills, and ability to work as part of a multidisciplinary team. High computer proficiency, including
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Retirement contributions Paid vacation and sick time Paid holidays Please visit our Human Resources (HR) website to learn more about the total benefits offered. Purpose Planet Texas 2050 is currently seeking
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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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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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from date of hire. Preferred Qualifications Aptitude and experience with: (a) predictive machine and deep learning techniques, (b) statistical analysis, (c) hands-on experience using models such as
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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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. 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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, or free speech. Candidates should hold a PhD in a field such as History, Political Science, Public Policy, Criminology, Gender and Women’s Studies, Black Studies, Latino Studies, Ethnic Studies, Sociology
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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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. Purpose We are seeking highly motivated candidates for postdoctoral fellow positions within the Bureau’s hydrology research group. These fellows will be key members of an expanding research program focused