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Field
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-based methods to achieve personalised and novel outputs. This position will have a particular focus on developing fundamental AI algorithms and methods that can be used in systems for real-time creative
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 17 days ago
analyses), patient monitoring algorithms (e.g., artificial intelligence/machine learning approaches) for disease detection and management, and physiologic closed-loop controlled devices. Research activities
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Media, Online behavior, and Language (SMOL) project at the Department of Communications and New Media, National University of Singapore is dedicated to the interdisciplinary study of humans and algorithms
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Researcher will be based out of either the Boston, MA or Portland, ME campus and conduct applied research, prepare work for submission to journal/conference publications, contribute to extramural funding
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World Asset Develop new agentic AI and large language models (LLMs) to support the algorithm designs for Real World Asset applications and ecosystems. Implement and test the Real World Asset framework
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to join this development team as a fellow and learn to create, evaluate, and validate rapid, accurate, and sensitive diagnostic methods for detecting disease pathogens. The fellow will have an opportunity
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-machine teaming. Moreover, the consequences of such digital transformation are explored in the context of workforce and labor developments, organisational innovation, and learning/education. About the
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algorithms, and non-inferiority margin derivation methodologies. You will develop proficiency in regulatory database management, systematic data extraction from NDA submissions, and implementation of network
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) Ideal candidates have Specialist Knowledge in Neuromorphic Engineering, with experience in designing and testing Mixed Mode IC systems, working with and/or developing neuromorphic hardware in particular
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 17 days ago
artificial intelligence applications in drug development. You will gain experience researching advanced in silico prediction algorithms, analyzing machine learning approaches for toxicity pattern recognition