20 postdoc-computational-fluid-dynamics Fellowship positions at University of Texas at Austin
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defined benefit retirement plan, with 8.25% employer matching funds Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending
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defined benefit retirement plan, with 8.25% employer matching funds Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending
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disorders. Student loan forgiveness is available for faculty of the Department of Psychiatry through the Texas Mental Health Professionals Loan Repayment Program . About the Addiction Psychiatrist
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Medical School is focused on the development of new models for healthcare delivery, promotion of health, and innovation. The Department of Ophthalmology and the MSWEI seek to recruit dynamic, academically
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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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Postdoctoral Fellow position focused on developing advanced, AI-enabled methods for clinical decision support in precision oncology. The fellow will work at the intersection of computational innovation
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) mentored training program for pharmacists with a strong interest in pursuing careers in pharmacy education. The program will provide extensive experiences in classroom and experiential teaching, educational
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/directory/kenneth-dunton ) The research program associated with this postdoctoral position is specifically focused on a coast-wide survey of seagrass distribution along the Texas Gulf Coast. The State
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has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs