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within an avian microbiota grown in vitro. Finally, control strategies based on the use of molecules that inhibit bacterial communication will be tested in this model. The most promising approaches will
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, robust, and trustworthy robotic technologies. Your research will span core challenges such as robot control, decision-making under uncertainty, multimodal information fusion, and foundational models
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participation, control strategies, lifetime extension) Risk, uncertainty quantification, and value-of-information perspectives for operational decision making System representations (e.g., structured model
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division focusing on data-driven control methodologies. About the research project Model-based control is arguably the prime framework to perform certifiably-safe regulation of dynamical systems. However
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this gap by developing a machine learning-based downscaling framework that links coarse resolution (0.25°-1°) reanalysis and climate model outputs to fine-scale (∼100 m) estimates of surface melt and
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, generating insights that directly support evidence-based malaria control strategies. This position offers a unique opportunity to work at the cutting edge of vector genomics, contributing to a global effort to
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, optimizing, and deploying AI models on HPC and GPU-based systems. Provide guidance on performance optimization, scaling, and efficient resource utilization. Contribute to architectural and design decisions in
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day. What You’ll Do: Serve as a professional representative of Duke Health, consistently modeling respect, urgency, empathy, and exceptional customer service. Communicate clearly and professionally
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change when firms develop or adopt AI models how firms can retain strategic control in an economy where global platforms often set the rules of the game. You will work closely with both startups and
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. Responsibilities include conceptualizing and implementing statistical and structural models, developing scalable algorithms for system optimization and control, conducting policy-relevant economic analysis