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months). The position is focused on LiDAR sensors and sensing systems. The successful candidate will work under the supervision of Dr. Ahmad Alsharoa on cutting-edge projects involving the application
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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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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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The Overdose Prevention Engagement Network (OPEN) at the University of Michigan invites applications from exceptional early-career research investigators for a Postdoctoral Fellowship in
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. The second pertains to a NASA-funded project to design and fly an airborne water vapor Lidar sensor at supersonic speeds. In either role, the successful applicant will apply optical analysis techniques (theory
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scales. 30% -Develop research about the integration of physically-informed AI/DL models with climate and hydrologic datasets (e.g., reanalysis, satellite, and observational networks). 20% -Prepare high
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with Owen-Smith and other members of the IRIS team. Familiarity and demonstrated expertise with network and computational science methods, science of science research, creation and manipulation of large
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has grown into a worldwide leader in education and research, with 25 faculty and 11 staff, serving our undergraduate and graduate students along with a network of some 3,000 living alumni. Our
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learning, teaching, and scholarship through application of technologies and knowledge of the latest digital research methods with diverse teams. You will join a network of functional and subject experts
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The Overdose Prevention Engagement Network (OPEN) at the University of Michigan is recruiting an outstanding early-career research investigator to join a multi-disciplinary team to conduct high-impact