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Title: Postdoctoral Research Associate|Machine Learning/Artificial Intelligence for Additive Manufacturing Employee Classification: Postdoctoral Research Assoc Campus: University of North Texas
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Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your
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therapeutics and antimicrobial peptides. The Postdoctoral Researcher will apply computational modeling, structural analysis, and machine learning approaches to support mechanistic studies of cellular signaling
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characterization (PXRD and Rietveld refinement, SEM, XPS, etc) Experience with machine learning techniques, particularly machine-learned interatomic potentials, in the context of chemical research. Programming
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. The project will involve drone optimizations, computer vision, closed-loop control, multi-modal sensor fusion, machine learning, and transfer learning methods. The candidate will also work in collaboration with
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learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team
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Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your
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& Machine Learning (AI/ML), data science, or related fields. The role focuses on applying advanced biomedical, translational, and computational methods to address public health challenges and promote health
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& Machine Learning (AI/ML), data science, or related fields. The role focuses on applying advanced biomedical, translational, and computational methods to address public health challenges and promote health
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the metroplex. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience A PhD in engineering with an emphasis in real-time optimization (e.g., extremum seeking) for dynamic