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University of California, Los Angeles | Los Angeles, California | United States | about 12 hours ago
granting agency policies and procedures. • Lead role in revenue generation and securing extramural funding for CTS • Lead efforts to collect and analyze data, and disseminate findings to broader audiences
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electromagnetic device performance analysis>>>Embedded SystemsResearch focuses on:•Robotics, computer vision, and machine learning/deep learning•Wearable and implantable sensors, biosensors, and tele
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sample matrices; report monthly use of instruments for billing purposes; maintain compliance with required safety training through MSU EHS; arrange for replenishment of essential laboratory supplies needed
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Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary M-F 8-5 VP Area U of U Health - Academics Department 02171 - Education Program and Trainees
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of responsible conduct in research. Comply with good scholarly and research practice. Adhere to University standards regarding use of isotopes, chemicals, infectious agents, animals, human subjects, and the like
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About the Opportunity This job seeks a research assistant to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: 1
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host immune responses and bacterial physiology. Responsibilities include manipulating the host response to infection, conducting bacterial genetics, performing in vivo mouse work, tissue culture
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II is looking for a part-time (30 hours per week) PhD-Position: Machine Learning / Medical Imaging (m/f/x) (with immediate effect). This position is offered for a duration of 3 years. Join the AICARD
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behavioral health staff in tribal communities; delivery of evidence-based behavioral health treatment to youth adults and families; and assisting CBH faculty and staff in work with our behavioral health
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Computational Approaches to Materials Science and Engineering; Nanoscale and Functional Materials. These positions require a Ph.D. in Materials Science and Engineering or related fields, and experience in