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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 6 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 Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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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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, including Generative AI. The candidate should have completed a PhD in related topics (ECE, CSE). New York University (NYU) is one of the top private universities in the United States, and the Tandon School
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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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Artificial Intelligence (AI)/Machine Learning tools, OR a PhD in AI/Machine Learning with experience in plasma physics or other strongly coupled physical systems. Associated research and software engineering
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-/chemo-genetics, in vivo calcium/voltage imaging, high-speed camera with machine learning, and behaviors. The lab will provide the training for relevant experimental techniques. Recent lab publications
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Position Time Status Full-Time Required Education PhD Required Related Experience None Required License/Registration/Certification None Physical Requirements Sitting at a computer workstation and typing
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About the Opportunity Northeastern University is looking for a postdoctoral research fellow in artificial intelligence (AI) and machine learning (ML) as well as network science (NS) and optimization