24 parallel-computing-numerical-methods Fellowship positions at University of Texas at Austin
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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
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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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numerical and statistical modeling of natural systems. Working knowledge in programming languages such as MatLab and/or R. Experience with project management and ability to meet project goals in a timely
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with incoming Assistant Professor Dr. Adela Timmons. Research in the TIES Lab focuses on big data analytics and pervasive computing methods for building adaptive and responsive mental health
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of multiple geophysical datasets and interpretations, and the development of new concepts and methods to automate the processing of field data in near real-time to provide insights to wildland fire commanders
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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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molecular methods for collection of genomic data, and strong bioinformatic skills. Preferred Qualifications Experience working with animals and in a genomics wet lab. Demonstrated ability to carry out
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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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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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) 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