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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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) 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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, the objectives of the lab include 1) characterizing the temporal dynamics of symptoms and affect using self-reported ecological momentary assessments and passive sensor data, 2) understanding the network structure
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assessments and passive sensor data, 2) understanding the network structure of emotional disorders (e.g., how are symptoms related, etc.), 3) leveraging computational and statistical advances in time-series
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, innovative system designs, and advanced algorithms to shape the future of immersive experiences. QUALIFICATIONS: Ph.D. in Computer Science, Electrical Engineering, or related fields. Strong background in AR/VR
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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algorithms. The candidate should have the following skills: • Strong technical, analytical, and quantitative abilities; • Strong interpersonal, organizational, and communication skills, and the willingness
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives