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modification, and device integration. • Conduct experimental evaluation of device performance using biological samples and laboratory models. • Assist in the development of embedded systems, data
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or robotic systems Knowledge of system integration, instrument control, workflow automation, and data acquisition Experience developing and applying AI/ML methods, including predictive modeling, active
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for predictive modeling, high-dimensional optimization, uncertainty quantification, forward and inverse design, including the development of Digital Twin components, under the supervision of Prof. Douglas H
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Particle and Astroparticle Physics to start in the fall of 2025. The postdoc will work on topics broadly related to direct and indirect probes of physics beyond the Standard Model, using analytical and
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Laboratory, led by Drs. Ana Solodkin and Steven Small, is seeking a highly motivated post-doctoral research associate, in the computational modeling for early diagnosis of Alzheimer Disease. This position will
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to the organism, including iPSC-derived cardiomyocytes, organoids, and animal models. This includes molecular biology (RNAseq and proteomics), biochemistry, measuring cardiac function (echocardiography), pressure
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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization
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, geophysical field monitoring and numerical reservoir modelling. This postdoctoral researcher will work on three main tasks. The first task is to perform centroid-moment tensor inversions for small (M < 1
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and genomic screening modalities, as well as advanced molecular biology and biochemical techniques in multiple types of pre-clinical models to uncover novel dependencies, or tumor-specific genes
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on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks and system