82 machine-learning "https:" "https:" "https:" "https:" "https:" "VIETNAMESE GERMAN UNIVERSITY" uni jobs at Cedars Sinai Medical Center
Sort by
Refine Your Search
-
AI / Machine learning / Computational Oncology lab:Our work is translationally focused, towards realizing our vision of developing new approaches for fast and low-cost prediction of patient response
-
and resistance. Through close collaboration between laboratory and clinical teams, our work bridges mechanistic immunology with real-world patient outcomes. To learn more about Hosoya Lab - https
-
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
-
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
-
, 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
-
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
-
. 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
-
technical background in programming, statistics, and deep learning. As a statistician by training, he has always been fascinated by how to understand, visualize, and interpret data. With the exponential rise
-
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
-
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