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contribute to impactful health policy and aging research. This position is embedded within a federally funded mixed-methods study examining the effects of the Paycheck Protection Program (PPP) on staffing
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protocols to evaluate program processes and outcomes among individuals who participate in and deliver RF/YWFC programs across California. Lead the training, roll out, and implementation of mixed-method data
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innovative solutions to complex data challenges. We collaborate with academic, industry, and government partners to advance the state of the art in computer and data science to support data-driven exploration
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and impactful program of research; expertly teach across our academic programs; perform service activities at NYU, with the communities we serve, and as leaders within local, national, and global
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and community engagement opportunities. Collaborate on assessment, program redesign, and strategy development to strengthen the student experience. Serve as a thought partner to NYU London leadership
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wearable setting. Dehydration of workers lead to performance drop, and stroke by dehydration poses serious risks in construction sites. Current wearable methods for detecting dehydration are typically based
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Post-Doctoral Associate in the Center for Translational Medical Devices (CENTMED) - Dr. Panče Naumov
modification of implants through methods such as plasma treatment, silanization, and the application of specialty coatings to impart corrosion resistance. Additionally, the candidate will develop polymeric
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: Program Manager Department: NYU School of Global Public Health | Department of Epidemiology Supervisor: Dr. Saba Rouhani Job Type: Full-Time Number of Positions Available: 1 Position Summary: NYU School
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of vibrotactile feedback as a guidance method for helping patients with more synchronized movements. Responsibilities of the Position (Bullet points) To conduct literature review about technologies for gait
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Degree in Computer Science, Information Management, Information Systems, Information Technology, Electrical Engineering. Preferred Education: Master's Degree in Computer Science, Information Management