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holography and electronic systems for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should
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university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our
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, and networked microgrids. Design and implement reinforcement learning, game-theoretic, or robust decision-making approaches for adaptive control of DER and microgrids under uncertainty and adversarial
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systematic learning from well-characterized viral and microbial spike-in controls to improve the robustness of NGS-based assays Mentor: The mentor for this opportunity is Sandip De (sandip.de@fda.hhs.gov
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experimentally and making a difference in the areas of materials and manufacturing, we look forward to receiving your application. About the research project The position is focused on development of robust AM and
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of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery
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facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 3 days ago
upper atmosphere water vapor product: including, for example, studies that improve and assess the data accuracy, precision, and robustness. Application of dataset improvements to answer relevant
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position. The lab studies cognitive control using behavioral/modeling, fMRI, EEG, and TMS approaches. The Postdoctoral Associate will build specifically on our ongoing research examining neurocognitive
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the development and validation of the common data model and the data integration platform for use in healthcare research. Ensure analytical methodologies are robust, reproducible, and compliant with relevant