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) Experience working across the XR system stack, including lower-level components such as sensing, networking, systems optimization, or edge/cloud integration Experience incorporating machine learning
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and GPU-accelerated tools for circuit and system design optimization, addressing challenges in physical design, timing analysis, and large-scale hardware design automation. The researcher will
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publications. Responsibilities include: Development of new experimental approaches and implementation, optimization, and modification of existing laboratory procedures and protocols to address research
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implements multi-agent systems to optimize clinical decision support and patient monitoring. Rigorous testing of AI safety protocols ensures the reliability and ethical deployment of these autonomous models
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molecular, cellular, biochemical and immunological analyses. · Optimize and troubleshoot experimental protocols and equipment. · Design, execute and document experiments with sufficient detail to understand
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uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
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(qPCR, western blot, histology). • Evaluate adeno-associated viral-mediated gene therapy approaches for respiratory dysfunction. • Optimize and troubleshoot protocols, reagents, and equipment
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Postdoctoral Associate Early Childhood Cognition Lab at Duke / Dr. Tamar Kushnir Department of Psychology and Neuroscience Overview The Early Childhood Cognition Lab at Duke’s (http://www.ecclabduke.com
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interacting with a team of researchers from several universities. Knowledge of advanced statistics and experience working with MPlus, SPSS, R, and other statistical packages is required. Experience using large
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community. EDUCATION/TRAINING: PhD in electrical engineering, physics, quantum theory/science, expertise in detection and estimation theory. PREFERRED: Statistical signal processing with knowledge of quantum