72 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Cedars Sinai Medical Center
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under therapeutic pressure. In parallel, we study immune cell populations that contribute to either the progression or control of cancer, using advanced single-cell and spatial technologies. To learn more
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routine and complex machine learning and computational cancer analyses throughout the training period. Will be expected to develop, adapt, and implement new research computational approaches and tools
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Scientist will perform routine and complex mathematical modeling, machine learning, AI, computational, and statistical procedures to answer a variety of questions focused on direct clinical applications
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role of inflammation in this response. These immune responses can cause severe transfusion reactions and significantly limit the availability of compatible blood for future transfusions. https
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, immunohistochemistry, and staining. This position does not have supervisory responsibilities. To learn more about Dr. Zheng’s work, please visit Dr. Bin Zheng’s profile here - https://researchers.cedars-sinai.edu
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. Ordinarily, the Project Scientist title will carry out research or creative programs as well as administration of day-to-day lab operations with supervision by a member of the Professorial Series. To learn
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diseases such as cerebral palsy, multiple sclerosis and brain cancer. https://researchers.cedars-sinai.edu/David.Rowitch Are you ready to be a part of breakthrough research? Working independently but in
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computational approach focused on the development, evaluation and application of innovative AI, machine learning and systems approaches to modeling biomedical big data for precision health. We are particularly
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automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET
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automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET