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uses an interdisciplinary approach that integrates quantitative microscopy, live-cell imaging, molecular and cellular biology, computational analysis, and cancer model systems to investigate how
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as the day-to-day technical contact for the Flywheel imaging platform. Under the supervision of CIMBID leadership (Director of Research Informatics), the Staff Associate II supports secure imaging data
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and personalized medicine using cutting-edge computational tools. To further this mission, we are seeking an experienced software engineer to join our multidisciplinary team of scientists and physicians
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. degree in any quantitative science, preferably in Computer Science, Electrical and Computer Engineering, Biomedical Engineering, Applied Mathematics, and Neuroscience. Candidate should have a working
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experimental approaches, including machine learning, genomic assays, and live imaging of subcellular dynamics coupled to CRIPSR-based genome engineering. Much of the experimental work is carried out in live
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their application to many areas of physics, materials science, biology, earth science, as well as imaging and data science. There is a strong cohort of activities on applied and computational mathematics
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of Radiology at Columbia University has research teams applying advanced imaging AI and clinical data science, as well as quantitative disease modeling to address pressing challenges in health outcomes and