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applications online. We will update you about your application at various points throughout the selection process, via automated emails from our e-recruitment system. Please check your spam/junk folder
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM
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on a tripartite technical system of "Equipment Automation – Operation & Maintenance Intelligence – System Autonomy," aiming to drive profound transformation in industrial manufacturing by breaking
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, automated characterization techniques we evaluate the catalyst’s performance. This enables the examination of numerous materials in a short time and thus accelerates the discovery of new materials. We work
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/01/2026 Job Summary The Sterling Group at the University of Texas at Dallas is seeking a postdoctoral researcher to explore polymer upcycling. Our research program integrates automated computational
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in NextG (5G/6G) with emphasis on O-RAN (near-RT RIC, xApps/rApps), network security, and spectrum management. Design and evaluate AI/ML methods (DL/RL/LLMs/FL) for network automation and decision
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of cyber-physical systems is an enabler of critical technologies that potentially cause fatalities (e.g. crash of an automated vehicle) or huge economic costs (e.g. blackout of a smart grid). While there has
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
above as well as nanoscale experiments with domain-informed AI/ML algorithms. In addition to fundamental science discovery, the research will pursue development of automated workflows and novel ML
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
expertise in statistics and machine learning to analyze high dimensional medical imaging data * Make it easy to get high quality, automated, results without expert intervention. Build scalable products and
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to convey their requirements for I/O performance and data atomicity, consistency, durability, and retention. Intelligent and automated selection and composition of data and storage service capabilities and