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data for weather forecasting and research. We are seeking an undergraduate student in Electrical Engineering, Aerospace Engineering, or Mechanical Engineering to work on sensor integration, testing, and
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, and optimize sensor/microsensor responses. This interdisciplinary approach is essential to understand the changes of thermal/radiative properties by correlating them with the evolution of chemical and
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of developing wireless, implantable sensor technologies aimed at transforming orthopedic care and regenerative medicine. The lab specializes in engineering battery-free, resonance sensors, such as inductive
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materials, self-healing technologies, or sensor-integrated cementitious systems is a strong plus. Strong laboratory skills, data analysis capabilities, and a collaborative mindset. Preferred Skills
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
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funding, Profs. Himanshu Gupta and CR Ramakrishnan conduct research in the general area of quantum networks, quantum sensor networks, and distributed quantum computing. The center includes other quantum
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Technologies (BEST) 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
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proposal. Tasks: Collaborate on tasks T3.1.3 (Verification of MEM sensors), T3.3.1 (Development of the integrated platform), T3.3.2 (verification of components of the integrated platform) and T3.3.3
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). Applying advanced statistical and machine learning methods (e.g., predictive modelling, clustering, multivariate integration) to large-scale time series and sensor datasets. Contributing to the development
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Researcher, you will play a key role in developing next-generation quantum sensors based on photonic technologies, with applications spanning high-tech industries, space, and defense. Your work will focus