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and computer engineering, data science, informatics, biomedical engineering, or a related field. Job Description: A Postdoctoral Associate position in AI-driven drug discovery and/or computational
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characterization of germanium detectors, develop advanced Monte Carlo models and AI-driven analysis tools to optimize detector response, and to promote precision medical imaging and low energy dark matter searches
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
clinical translation • Develop and validate disease progression models and other data-driven analyses in large-scale multimodal datasets (imaging, phenotypical data, genetics data) • Author scientific
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-engineered T cells, NK cell therapy). • Hands-on experience with molecular biology techniques, flow cytometry, and animal models of cancer. • Track record of productivity demonstrated by first-author
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transformative AI tools to accelerate biodiversity science and enable data-driven conservation interventions. This position is supported by the Bezos Earth Fund. Two central goals of GAIA are: to build an AI
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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This
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Position Details Position Details Advertising/Posting Title Post Doctoral Associate in Civil and Environmental Engineering at UVM Posting Summary Join a vibrant research community at the University
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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data-driven conservation interventions. This position is supported by the Bezos Earth Fund. Two central goals of GAIA are: To build an AI Genome Curation Assistant (Jarvis ): an AI system that combines
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care for patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial