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PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment Power converters are essential in numerous applications such as industry, photovoltaic systems
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comparing supervised and unsupervised methods (e.g., regularized regression, tree-based models, ensemble methods, clustering, dimensionality reduction) and deep learning approaches Developing and applying
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. About This Role Develop, maintain, and document MEG preprocessing/analysis pipelines Integrate MEG-derived biomarkers with MRI-based measures for multimodal modeling and discovery Contribute
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
of cutting-edge remote sensing observations and process-based models to study terrestrial and coastal ecosystems that are under increasing threat from a range of factors including wildfire and other
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instrumentation for single-cell proteomics. The role will be based in Pasadena, CA. Essential Job Duties Responsible for conception, planning, modeling, assembly, and characterization of ultra-low noise nanodevice
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quantum control without relying on detailed system models. In this project, you will develop RL and other machine earning-based methods to control superconducting qubits using measurement feedback. The work
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, rivalling temperature in importance. It shapes marine food webs from the bottom up by controlling primary production and the energetic base, and from the top down by affecting the efficiency of visual
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to the Institute’s needs. Requirements for candidates: Proven experience in advanced hydrological modeling (e.g., conceptual or physically based spatially distributed models), particularly with SWAT+, SWAT-MODFLOW and
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lung tumors. We utilize a multifaceted approach that encompasses preclinical studies in immunocompetent syngeneic and genetically engineered co-mutational models of KRAS-mutant NSCLC as well as PDX/CDXs