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data from mobile, wearable, and environmental sensors. The successful candidate will create and deploy models that integrate machine learning, signal processing, and large language models (LLMs) to infer
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submission to journals and conferences. Present research findings at seminars, conferences, and scientific venues. Develop innovative and robust machine learning algorithms to personalize interventions
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. The research involves the development of machine learning algorithms and MR pulse sequences for next-generation computational MRI. The research will be conducted at the Electrical and Computer Engineering and
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multidisciplinary team, familiarity with best practices in software engineering, and efficacy at communicating and planning with computer-facility technical staff. Experience with algorithms for hydrodynamic-scale
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Supervisor will adhere to prescribed algorithms and guidelines for making staffing decisions. As Incident Commander for Emergency Management the SRO Nursing Supervisor will coordinate the dissemination
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Cellular and Wi-Fi signal boosting equipment Digital signage and wayfinding Parking occupancy sensors and guidance systems Collaborate with vendors and contractors on project execution and system upgrades
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computerized equipment to diagnose and troubleshoot diesel engine failure conditions, including mechanical faults and problems with onboard electronics and sensors. Assist technicians with diagnoses and
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inflammasomes, immune-based DNA damage sensors, ITAM/ITIM receptors, and microbiota in the pathogenesis of neurodegenerative disease. Position Summary Postdoctoral employment is temporary and is normally limited
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comprehensive scheduling algorithms) and handle sensitive information with confidentiality. Ability to work independently on a wide variety of tasks – both simple and complex - with minimal supervision and
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network modeling to address real-world policy challenges through algorithm development and technical analysis. Key Responsibilities Conduct original research in generative AI Train and supervise graduate