15 machine-learning-"https:"-"https:"-"https:"-"https:"-"U.S" research jobs at University of Texas at Austin
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and wave-equation–based modeling, including familiarity with adjoint-state methods, gradient-based optimization, and multi-scale inversion strategies. Proven expertise in machine learning and deep
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to reactor physics, computational methods, machine learning, and data science. Proficiency in modern software development practices, GIT-based version control, high performance computing platforms, and object
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Qualifications Experience with field experiments, applied microeconomics (education, housing, labor), administrative data, or AI/machine learning applications in social science research. Salary Range $75,000
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, including survival analysis, time-series techniques, causal inference approaches, and/or machine learning methods to large healthcare datasets. Prior experience mentoring or supervising graduate students
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, ability to follow-through, and strong problem-solving skills. Proficiency in Microsoft Excel and Word and willingness to learn other technologies as necessary. Ability to work independently and on a team
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, or computational methods Strong organizational skills and ability to manage multiple projects independently Preferred Qualifications Interest and/or experience with large-scale natural language processing, machine
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solutions using first motion. Experience in full waveform inversion using innovative tools (e.g. ISOLA) and methods (ML), earthquake location algorithms, computer programming and geophysical equipment
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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one or more of the following areas: (1) modeling of infectious disease dynamics, (2) statistics, machine learning, and AI, or (3) operations research and optimization. Preference will be given
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primarily responsible for collecting Near Infrared Spectroscopy data on field samples. This includes milling, packing, collecting spectral data from the NIRS machine, and data post processing. Assist with