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field. • Experience conducting medical imaging research. • Experience developing artificial intelligence and machine learning approaches for research. • Strong command of statistical methods and their
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systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 13 hours ago
values well-being, lifelong learning, and connection. UNCW offers a competitive and flexible benefits package designed to support your health, financial well-being, and professional growth. From
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, image processing, machine learning, and spatial optimization to reconstruct cable surface alignments and geographic coordinates. Validate inferred routes against reference or field observations and
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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and imaging mice during experiments, weighing mice and administering treatments to mice, processing of blood for human NK cells and CTC, harvesting tumors, lungs and bones of mice and analysis
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parameters and image the patient. Maintains a high degree of accuracy and an awareness of all radiation and patient safety issues involved with any invasive procedure. Demonstrates a thorough understanding and
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assessment of seed yield and quality traits using imaging, machine learning, and edge computing technologies. The position will assist with the development, testing, and deployment of AI models for analyzing
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supervisor's instructions and/or manual. Assists in university records management activities. May input data on holdings into computer. May train others in operation of digital imaging equipment and software
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Università degli Studi di Roma Tor Vergata - Dipartimento di Biomedicina e Prevenzione | Italy | 2 months ago
phenotypes. The post-doc will implement machine-learining and deep-learning fusion piplelines to combine high-dimensional imaging features and-omics data, building interpretable ipredictive models. Activities