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Falls Posting Context Statement Position Overview Lead research projects focusing on developing and optimizing network protocols for power systems. Explore innovative applications of AI in modeling and
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within the predetermined research scope and methodology of department and university. Develop a theoretical framework for certifiable trajectory optimization based on quadratically constrained quadratic
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factory systems. Key Responsibilities: Conduct applied research in AI-enabled manufacturing systems, including digital twins, AR/VR immersive technology integration, and real-time process optimization
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for an ultra-high vacuum synchrotron end-station using CAD software. - Run, optimize, and document data acquisition codes (LabVIEW and Python) - Aid NIST staff in developing plans
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, engineers, and clinicians. The specific goals of the research are to optimize intraretinal stimulation. Using novel carbon fiber array technology, we will stimulate inner retina cells and record evoked
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are to optimize intraretinal stimulation. Using novel carbon fiber array technology, we will stimulate inner retina cells and record evoked responses using imaging and electrophysiology. Multi-channel stimulation
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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) and a track record of productive collaboration within interdisciplinary teams. Core Skills: Experimental Design & Troubleshooting: Ability to conceptualize, execute, and optimize complex in vivo (mouse
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stakeholders to plan optimal strategies to support LAI-PrEP implementation, and pilot a cyclical Plan-Do-Study-Act implementation strategy within two outpatient clinics serving priority populations for HIV
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Responsibilities Develop and optimize protein purification protocols for key stress response factors Establish in vitro reconstitution systems to study protein-metabolite interactions Design and implement genetic