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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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Postdoctoral position. This position is available to individuals with research interests in applications of machine learning and artificial intelligence to wearable sensor data for nutrition research. Publishes
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. We are looking for a highly motivated candidate with a PhD and/or MD degree interested in using novel biological and computational methods with the aim of developing novel strategies to improve CAR T
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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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related to the preparation for a career in research or academia, participate in the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal degree
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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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, 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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Professional training and development activities Required Qualifications: PhD in Social Work, Psychology, Public Health or related healthcare field. Prior scholarly work in the area of Latino health, aging
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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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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