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. Responsibilities* Design, implement, and evaluate LiDAR-based experiments in lab and real-world settings. Develop and test algorithms for object detection, tracking, and classification using LiDAR sensors. Help
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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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, responsibilities or differences. -Providing support, direction and resources enabling us to accomplish the responsibilities of our jobs and to reach the goals that are set for professional and personal growth
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of AI models and architectures as well as methods, demonstrated, or projected, that are used to interpret mathematically different classes of AI models, and which we believe can be used in
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and Machine Learning tools and algorithms to solve hydrology and water resources problems. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability
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multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and their dynamics. Conducting literature searches, manuscript preparation, and
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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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multidisciplinary approach to understanding cognitive aging and Alzheimer's disease and related dementias (ADRD) across different national contexts. The selected candidate will work on projects focused
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next generation of leading social science researchers, by enabling them to develop a range of research skills in different contexts, working with mentors with different disciplinary and substantive
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of different intervention strategies on the genesis and severity of cytokine release syndrome and other side effects resulting from innate immune activation during CAR T-cell therapy. This will involve the use