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personalized medicine. By integrating human cohorts, single-cell multi-omics technologies, and expertise in systems and computational biology, we generate high-profile research that bridges big data with
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, preferably lightsheet, confocal, dissecting. Ability to work both in a team environment and independently. Excellent organizational and record-keeping skills. Computer skills in both Mac and PC environments
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. By combining methods from human-computer interaction, clinical informatics, and artificial intelligence, we aim to create systems that enhance reasoning, surface relevant information at the bedside
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molecular biology techniques Experience in standard computer software related to writing, data analysis, and data presentation. Condition of Employment: Willingness to conduct in vivo experiments in mouse
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Biology, or relevant program. · Prior successful working experience with tissue cultures and various molecular biology techniques. · All applicants for this position must be authorized
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Informatics (BIOS), faculty, postdoctoral fellows, and students in the department apply analytic methods, statistical reasoning and information management techniques to the design and analysis of studies in
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the biology and pathogenesis of acute myelogenous leukemia. The Fellow is expected to conduct research projects, to think independently, be highly motivated, design and carry out experiments, analyze data, and
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with flow cytometry Excellent communication skills Excellent writing skills Demonstrates the proficiency in computer software How to Apply: For full consideration, please submit the following document(s
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relevant biomedical science discipline Preferred Qualifications: Prior vision science research experience Prior experience with rodent model systems Experience with genetic techniques Knowledge, Skills, and
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independently and as a team member within a research environment. Ability to work efficiently and effectively with computer software including Microsoft Office. Skilled with the use of aseptic mammalian cell