680 machine-learning-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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years of post-degree experience. Applicants should address how they would contribute to the research focus of Math+AI. The primary focus of this position is in creating methods and applying Machine
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strengths in any of these areas — quantitative imaging, modeling/transport science, machine learning, or scientific programming — are encouraged to apply. Major Duties/Responsibilities: Lead energy‑storage
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county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about
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. QUALIFICATIONS PhD in Civil Engineering, Environmental Science, Computer Science, or a related field Research experience in hydrology, geospatial analysis, and machine learning Skills of scientific writing and
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for design consideration. Irradiated mechanical property prediction models and property correlation metamodels will be developed considering traditional and machine learning approaches. Extrapolation will be
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candidates will have strong past experience in scientific machine learning. Experiences in large language models, molecular modeling and simulations, and/or polymer science are preferred but not required
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in materials or low temperature physics. Demonstrated knowledge of Python or another major programming language for data analysis and familiarity with machine learning approaches for data analysis
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the appointment start date; demonstrate strong expertise in computational biology or data-driven modeling, with experience in one or more of the following areas: machine learning or deep learning, structural
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development of new AI-driven curricula and assessment frameworks for health professions education. Design, develop and apply AI solutions including traditional machine learning models, natural
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to efficacy, safety, and value is essential. The successful candidate is expected to develop and lead independent research using advanced econometrics, predictive analytics, and machine learning, including