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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 12 hours ago
limited to 5-axis milling, low speed machining dynamics, free form optics, physics informed machine learning (PIML), robotic machining, cutting tool design, hybrid manufacturing context. - Draft Conference
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graph theory, network analysis, and/or machine learning modeling confer a significant advantage. This is a two to three year term position with opportunities for training in human systems neuroscience
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of Informatics and Computing Location Indianapolis Position Summary The Postdoctoral Research will help design and conduct research in AI & machine learning for medicine while receiving advanced training from a
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systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap
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systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap
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to generate and publish high-impact machine learning research. Collection, curation, and maintenance of neural datasets Building lab equipment and software infrastructure for neural engineering experiments
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are expected to have the PhD at the time of appointment, and to have a record of original research, experience in public humanities, and advanced computer skills. This is a professional Officer of Research
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science field is required for this position. Expertise in modeling and/or experimental techniques, machine learning, or other methods used for the mechanical and physical characterization of materials is
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, and CAR-T and CAR-NK. As a successful candidate, you will: · Lead projects by designing and performing experimental procedures · Manage data, analyze, and report findings · Write
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tunnel experiments, data analysis using Machine learning techniques, and report writing. In addition to a strong foundation in aerodynamics, the candidate should have a robust background in applying