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, Computational Biology, Computer Science, Biomedical Engineering, or a related quantitative discipline Strong background in machine learning/deep learning (e.g., CNNs, transformers, vision models) Experience
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in biomedical research. Preferred Qualifications Work Experience: Teaching experience in statistics, biostatistics, machine learning, artificial intelligence, or data science. Research collaboration
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Meinig School of Biomedical Engineering is to educate students to understand the human body as an integrated system through quantitative engineering analysis and to use that understanding to design better
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Computing (HPC) environments Prototype using emerging computer vision frameworks, applied machine learning techniques, and medical imaging standards Develop user-friendly front-end interfaces, web dashboards
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researcher with strong skills in artificial intelligence, machine learning, deep learning, and computer vision, with the ability to apply these methods to ultrasound image/video analysis and biomedical data
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 23 hours ago
/or life sciences to solve pressing biomedical needs and translate your findings to impact medical practice and improve healthcare? Are you excited to develop and apply cutting-edge machine learning
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temperature extremes, cuts/punctures, and bloodborne/airborne pathogens. Occasional standing or walking with objects 10-25lbs; intermittently sitting at a computer workstation for extended periods of time with
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University of California, Los Angeles | Los Angeles, California | United States | about 17 hours ago
association studies, single-cell RNA-seq/other single-cell omics, machine learning applied to biomedical data, multimodal or multi-omics data integration, high-dimensional immunology datasets, development
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Biomedical Equipment Green and Sustainable Manufacturing SMMG encompasses highly adaptive and agile computer-integrated manufacturing technologies. We are dedicated to exploring relevant new theories
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Science (DIHDS) and the Media and Innovation Laboratory (The MIL). The Manager applies advanced analytics, artificial intelligence, machine learning, predictive modeling, and related data-driven