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Field
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outcomes ●casual representation learning for real-world data ● deep learning interpretation, fairness and robustness ●Regularly conduct computational experiments to execute algorithms on various health and
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interdisciplinary teams to apply developed algorithms to real-world datasets and generate valuable biological insights. Perform integrative analyses of multidimensional datasets within the context of basic immunology
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writing C++ and PyTorch. Training and debugging RL agents. Imitation Learning algorithms for robotics or autonomous vehicles. Prior work combining RL with human data or feedback. A track record of code
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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education, research, and public service. Job Description Purpose: The Research Assistant will support the development and implementation of machine learning algorithms for cyber-physical attack detection in
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with applications to aerospace systems Designing, implementing, and testing control algorithms in simulation and hardware platforms Contributing to publications and reports; presenting research findings
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
the possibility of reappointment for an additional year. It will involve developing, implementing, and validating novel algorithms for analyzing SWOT data; writing scientific papers; and presenting research
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deep learning and scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest
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compensation matrices, gating strategies, and clustering algorithms. Maintain and calibrate flow cytometers (e.g., BD LSRFortessa, Cytek Aurora), ensuring data quality and reproducibility. Apply innovative
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for hypersonic wind tunnels, under the direction of Dr. Samuel Grauer. Job Duties: Include refinement of the neural-implicit LAT (NILAT) algorithm. Hardware design. Deployment at NASA facilities. The role combines