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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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medicine residency, medical school, and graduate school at CU. Our faculty researchers are leading innovations through discoveries in immunology, computational biology, genetics, epidemiology, and outcomes
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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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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
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Cell Biology A working knowledge of computer software for data analysis and presentation. Experience with animal modes Preferred Qualifications: Background in perinatal biology Knowledge, Skills, and
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the lab as well as other laboratories involved in team science Conduct literature searches Modify, test, verify and analyze research data Present results at lab meetings Present results at project meetings