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Field
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Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment (e.g
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fusion, progression-aware temporal modeling), perform rigorous model validation, and help translate research findings into clinically meaningful insights in close collaboration with dental experts. This is
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-on experience, contribute to groundbreaking projects, and explore career opportunities. Whether it’s advancing energy technologies, enhancing cybersecurity, or addressing new horizons such as fusion
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operando experiments under electrical, thermal, or mechanical bias to capture real-time defect dynamics. Integrate multimodal datasets and collaborate with AI/ML teams for data fusion, physics-informed model
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of proteomics with genetic data via MR, coloc and FUSION to identify causal and druggable targets. Working Conditions: This position will be located at Dr. Cruchaga’s lab in the NeuroGenomics and Informatics
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transformer architectures for multimodal fusion (RGB + thermal, intraoperative video, OR signals, EHR, surveys); develop temporal and cross-attention components for longitudinal risk trajectories. Build robust
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to experimental data analysis. Make advances in one or more of: multimodal data fusion/joint inference; uncertainty quantification with realistic noise/measurement error; complex physics- and artifact-aware forward
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visualization systems using realistic scientific data and simulations, including applications in cosmology, materials, fusion, environmental science, and light source data Collaborate closely with domain
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
that can incorporate multi-scale computational simulations to aid with data fusion across multiple modalities of experiments with the final goal of discovering novel materials phenomena or even new materials
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, human-systems interactions, networks science, information, decision complex networks, dynamic data-driven application systems, the science of information computation and fusion, systems and software