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Field
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to science and engineering domains. Design, develop, test, benchmark, deploy, and tune agentic AI software frameworks and multi-fidelity optimization algorithms to close the feedback loop for automated
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innovative research in quantum information science, broadly defined. Areas of interest include, but are not limited to, quantum computation and simulation, quantum algorithms, quantum error correction, quantum
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. They are key players in several cross-disciplinary institutes, centers, and programs at Georgia Tech, including PhD programs in Algorithms, Combinatorics, and Optimization (ACO), Computational Science and
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an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. You will: Design algorithms for vehicle guidance and control in an undersea environment, including signal
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other real-world data. Develop and apply statistical models, machine-learning algorithms, natural language processing, predictive models, and other computational methods to address biomedical and clinical
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of conducting rigorous research and producing high-quality outputs. Ability to network with industry partners. Expertise in machine learning algorithms, artificial intelligence, game theory, optimization
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experimental data, visualize trends, interpret results, and draw meaningful conclusions. Algorithm Implementation: Employ convolutional neural networks to enhance image processing capabilities and develop
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. Design, develop, test, benchmark, deploy, and tune agentic AI software frameworks and multi-fidelity optimization algorithms to close the feedback loop for automated scientific discovery. Deploy, optimize
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 13 hours ago
the unique nature of clinical medical data with low disease prevalence and difficulty obtaining ground truth data. Major regulatory science gaps include lack of methods for AI algorithm training with limited
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therapeutic targets. Develops and applies machine learning and statistical modeling approaches for biomarker discovery, classification, prediction, and patient stratification. Develops algorithms and