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) Group led by Prof. Ravinder Dahiya. BEST group aims to bring fundamental changes in the way the sensors and electronic devices are developed using materials designed for sustainability, and resource
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of resilient artificial intelligence (AI). The successful candidate will join Prof. Francesco Restuccia’s research team (website: https://mentis.info) in Boston, Massachusetts, and work on cutting-edge topics in
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AI solutions? We are launching a pioneering research and innovation hub in AI-one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Usama Fayyad, the Institute
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mixed lab equipment: mechanical, electrical, magnetic, fluidic, optical, as well as electronics utilized in experiments (e.g. sensors, imaging cameras, signal generators, oscilloscopes, multimeters, power
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Sciences. This growing department takes an interdisciplinary approach to health, from providing healthcare services to designing and developing devices and sensors to capture human movement for feedback
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on social, cultural, and political dimensions of sustainability challenges. This Lab Technician will be based at Northeastern University, where they will work closely with Prof. Sara Constantino, and a team
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position will remain open until filled. Questions about the position or how to apply can be directed to Prof. Peltier: j.peltier@northeastern.edu Position Type Research Additional Information Northeastern
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for the development of a sensor technology to detect microRNAs in biological samples. Specifically, the PRF will fabricate sensor on a paper platform and qualitatively and quantitatively test microRNA presence in
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pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Usama Fayyad, the Institute for Experiential AI is built around the
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students to deploy AI systems in up to 200 homes in Atlanta, GA. You will be responsible for designing and deploying the infrastructure that connects sensors, AI inference systems, large foundational models