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Field
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across heterogeneous data types such as clinical, imaging, omics, text, and experimental data. The work will include developing approaches for continual model improvement, adaptive federated training
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. In this role, you will leverage large-scale, heterogeneous datasets to develop and deploy AI-driven methods for: Real-time quality monitoring and control of manufacturing processes Understanding
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to develop, implement, and apply novel computational techniques to problems of scientific importance, in collaboration with application scientists and engineers. Topics of interest include data-driven modeling
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About the Opportunity AI-Driven Ultrasound and Intelligent Sensing: We are seeking a postdoctoral researcher to work on quantitative ultrasound methods, focusing on the application of model-based
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
that have guided generations, then share our discoveries to inspire generations to come. Your mission — your opportunity — is to seek out the answers that bring us one step closer. If you’re driven
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lead analysis and integration of household-level socioeconomic data with production, herd dynamics, and methane emissions datasets to develop and evaluate a dynamic simulation model of smallholder dairy
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workflows. The goal of this position is to develop data-driven approaches to AI-supported analysis for applications in ESS as part of the EU project “GenAI4Earth.” To this end, current developments in
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. Perform in vitro studies with primary lung cell culture models. Perform biochemical or imaging experiments pertaining to CF or e-cigarette exposure. Use imaging, biochemical, proteomic, and microbiological
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lacking a perturbation-driven, scalable platform will not be prioritized. Please note that generic project proposals which were generated by large language models such as ChatGPT will not be considered
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Correction Circuits Design of parametric processes and quantum control of driven non-linear quantum devices Quantum computer architecture, hardware- and noise-aware compilers Computation with Dynamic Circuits