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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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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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Title: Postdoctoral Research Associate - College of Engineering - Squid Swimming Employee Classification: Postdoctoral Research Assoc Campus: University of North Texas Division: UNT-Provost
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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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Postdoctoral Fellow will work with Dr. Prabha Sundaravadivel and other members of the CeRIS team on an interdisciplinary research project related to computer vision and aerial robotics in agriculture
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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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is seeking a highly motivated postdoctoral associate to work on NIH-funded projects focused on understanding the molecular mechanisms underlying epilepsy. We are a basic and translational neuroscience
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process diagnostics with closed-loop process control of AM platforms, and work with fellow researchers to implement machine learning algorithms based on in-situ data collection and analysis. Minimum
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tools in research. Excellent written and oral communication skills, with a proven track record of publishing scientific papers and delivering presentations. Experience with machine learning techniques