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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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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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Qualifications Experience with analysis of three-dimensional velocity fields Computer programming/scripting experience Experience with graph analysis and optimization methods Required License/Registration
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hours in office and computer work. Physical Activities Working Conditions Additional Information Hybrid remote work environment available and a UT Dallas Remote Work Agreement is required upon employment
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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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. Our research program is at the intersection between inorganic chemistry and materials science, integrating synthesis, X-ray scattering and spectroscopy, and first-principles calculations to advance our
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Postdoctoral Research Associate position will play an active role in research, including working on data, presentations, publications, project/program conceptualization and development, grant proposal
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– design and development of engineered and artificial enzymes for biocatalysis and asymmetric synthesis Projects – involve biocatalysis, protein engineering/directed evolution/design, and mechanistic