8 machine-learning Fellowship positions at University of Texas at Austin in United States
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Job Posting Title: Clinical Research Fellowship in Artificial Intelligence & Machine Learning in Congenital Cardiac Care ---- Hiring Department: Department of Pediatrics ---- Position Open To: All
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differentiable programming and physics informed machine learning (Graph Neural Networks and Neural Operators) for solving inverse and optimization problems. Develop AI-accelerated numerical methods for identifying
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will perform research within the Center for Generative Artificial Intelligence and its parent organization, the Machine Learning Laboratory. Successful candidates will be appointed within the Department
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, neuroscience, engineering, or related discipline within the last 3 years Experience with either transcranial magnetic stimulation, digital signal processing, or machine learning Human subjects’ research
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, Python, R, and machine learning. Salary Range $56,484 + depending on qualifications Working Conditions Uniforms and/or personal protection equipment (furnished) May work around chemical fumes May work
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audiences (such as computer scientists, engineers, and humanists). A general understanding of computational methods (e.g. machine learning, network analysis, natural language processing or formal statistics
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strong quantitative training in one or more of the following areas: (1) modeling of infectious disease dynamics, (2) statistics, machine learning and AI, (3) operations research and optimization
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the past three years. Strong publication records demonstrated by peer-reviewed journal papers or peer-reviewed conference papers. Experience with machine learning tools and programming languages, including