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, algorithm design, data analysis, interpretation of physiologic signals, manuscript preparation, and grant or fellowship applications. This position is ideal for a candidate interested in applying
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Qualifications: The Postdoctoral Research Fellow will have completed a Ph.D. with substantial emphasis on disease ecology, habitat suitability modeling, computer vision deep learning algorithm development
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· algorithm development and implementation · data visualization [CI1] The postdoctoral fellow may work with one of 23 primary mentors, spanning 7 departments
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function, brain aging, and age-related disease. A major goal is to move from discoveries in human genetics and population data to experimentally testable mechanisms using powerful genetic models. Projects
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populations, as well as improving portability of genetic risk prediction algorithms into the same populations in anticipation of testing the clinical utility of these algorithms within integrated health
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mechanistic experiments including organ physiology, genetic models, and omics profiling. Collaborate across disciplines, including translational projects involving clinical samples. Present findings at
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. Lab techniques include mammalian cell culture, mouse models, standard molecular biology and biochemistry, FACS/flow-cytometry analysis, genetic manipulation of cells (e.g., CRISPR), and microscopy
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clinical Molecular Genetic Pathology, where Dr. Gu is a practicing, board-certified Molecular Pathologist. Required Qualifications: Ph.D. or MD/Ph.D. degree prior to starting Preference for expertise
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understanding how genetic alterations create selective dependencies and how drugs can be used to target them. The Sheltzer Lab leverages approaches from functional genomics, chemical biology, AI, and
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study cancer vulnerabilities and small-molecule therapeutics. Multiple projects are available, broadly focused on understanding how genetic alterations create selective dependencies and how drugs can