32 assistant-professor-computer-science-data-"https:"-"https:" Fellowship positions at City of Hope
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. Experience with AI/ML algorithms and prediction model development. Familiarity with data structures, algorithms, software engineering best practices, and computational efficiency is highly desirable
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the opportunity to work on cutting-edge projects that contribute to the advancement of medical science and have a direct impact on patient outcomes. As a successful candidate, you will
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through cutting-edge research. A postdoctoral research fellow position in the department of Computational and Quantitative Medicine. For more information about Dr. Vaidehi’s lab, please visit here. As a
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medicine, vascular biology, bioengineering, and data science, Dr. Chen leads an active research program focused on epigenetics, RNA and chromatin biology and endothelial stress response. Her team integrates
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, shaping the future of medicine through cutting-edge research. A Postdoctoral Research Fellow position is open under Dr. Nagarajan Vaidehi within the department of Computational and Quantitative Medicine
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the opportunity to work on cutting-edge projects that contribute to the advancement of medical science and have a direct impact on patient outcomes. As a successful candidate, you will
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, shaping the future of medicine through cutting-edge research. The Jianjun Chen Lab at City of Hope is looking for talented Postdoctoral Fellows to study cancer and stem cell biology. There are multiple
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at the Arthur Riggs Diabetes Metabolism Research Institute of City of Hope. Built upon her interdisciplinary training in medicine, vascular biology, bioengineering, and data science, Dr. Chen leads
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externally (e.g., conferences) Required: PhD in Bioinformatics, Computer Science, Computational Biology, or related field Experience analyzing DNA sequencing data Proficiency in Python and/or R Familiarity
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conferences and contribute to the writing of manuscripts. Your qualifications should include: Ph.D., M.D., or M.D./Ph.D. in a relevant field, for example Biology, Medicine, Bioinformatics, Computer Science