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-ray characterization, physics-based modeling, and AI-driven data analysis to accelerate the discovery and optimization of hierarchical metamaterials. The position involves conducting in situ
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Postdoctoral Associate Food Science The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We work across
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for the benefit of society. Our Mission - TTI delivers practical, innovative and sustainable solutions to improve the movement of people, data and goods through research, education and technology transfer. Our
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, implement, and test novel MRI sequences, reconstruction methods, or post-processing techniques for research and clinical translation Develop and validate disease progression models and other data-driven
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, data-driven, and process-based models to coastal systems; analyze and visualize model outputs; communicate with project partners and stakeholders; and disseminate research findings in peer-reviewed
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offers mentorship under Dr. Alejandro Plastina and collaboration within a multidisciplinary, mission-driven team. Responsibilities - Develop and enhance models for state-level farm income and regional
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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