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Field
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creativity, rigorous scholarship, and collaboration. You'll have opportunities to develop new skills, contribute to high-impact publications, and expand your professional growth while making meaningful
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stipulated stipend guidelines for Postdoctoral Associates. Job Duties Collaborates on the development of AI/ML/NLP-driven solutions for healthcare challenges. Reads and interprets patient-level data to support
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stipulated stipend guidelines for Postdoctoral Associates. Job Duties Collaborates on the development of AI/ML/NLP-driven solutions for healthcare challenges. Reads and interprets patient-level data to support
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Job Duty Develop and validate simulation models and engineering solutions for power converters, microgrids, data centers, and grid-connected systems. Design and implement hardware-in-the-loop test
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, optical imaging, photoacoustic imaging, and micro-CT. Assist in the development of AI-based image analysis pipelines. Design and conduct imaging studies in murine disease models in accordance with approved
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methods and software, including uncertainty methods, spatialized approaches, and integration with dynamic modeling frameworks. Experience applying or developing mechanistic animal models, and/or whole farm
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to develop chemical probes, investigate biological mechanisms, and evaluate in vivo efficacy. In particular we use the promiscuous pregnane X receptor (PXR) and constitutive androstane receptor (CAR) as models
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program. Our work focuses on the development of advanced cancer models, integrative genomic analyses, and the discovery of novel therapeutic strategies. Using systematic, interdisciplinary approaches
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expression to identify mechanisms of acid-adaptation–driven intracellular survival. The Postdoctoral Research Associate will maintain rigorous records, write and contribute to publications and sponsor progress
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 21 hours ago
will engage in multiscale modeling and machine learning to develop reliable, efficient framework for predicting long-term creep and fatigue behaviors of heat-resistant structural alloys considering