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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 9 hours ago
developing the technologies that took on acid rain in the 1970s and mercury in the early 2000s. Program Goals The NETL Postdoctoral Research Fellowship Program (Postdoc) is a high-intensity program designed
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provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal models. As AI capabilities advance, the computational
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Performance Optimization and Data Management. The position is based at the University of Chicago and Argonne National Laboratory, working with Dr. Katie Harrington and Prof. Jeff McMahon. The successful
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: Research and Lab Operations Design and Fabrication: Lead the development and optimization of cardiac patches and injectable biotherapeutics using advanced biomaterials and nanovesicle technologies. Animal
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Carolina is inviting applications of two postdoctoral associates in the area of mathematical foundations of data science, AI, Graph Theory, Optimization, Probability Theory in a broader sense. The candidates
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: Job Description A postdoctoral scholar position is available in the Computational Electromagnetics and Antennas Research Laboratory (CEARL) in the Electrical
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the Health Science Academy to the Native Americans into Medicine program, and more. Research Our research focuses on the center’s activities over the past four decades. We’re also connecting with tribal
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results effectively to academic, industrial, and general audiences. Key responsibilities Lead the design, commissioning, operation, and optimization of high-temperature reactors for methane and natural-gas
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detection, predictive modeling, process optimization, and automated decision support, including real-time and edge deployment Collaborate with multidisciplinary teams to provide sensing, computational, and
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the nexus of AI, operations research and decision making and their applications to workforce policy and reskilling. The project builds on ongoing work using optimization-based models to predict future skill