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on their individualized data analysis. · Work on an organized record of dry lab scientific research with interpretable data visualizations and results in Github (e.g., using Jupyter notebook). Work Location: Onsite
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biology in models of leukemia. Responsible for development and conduct of project(s) within the scope of funded and future projects. Maintain accurate lab notebook and primary data. Work independently with
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to interpret and master complex research protocol information · Highly motivated, eager to learn, taking initiative and excellent problem-solving skills · Great organizational skills and record
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enthusiastic Post-Doctoral Fellow interested in advancing their career in a high-impact laboratory headed by an energetic, principal investigator, Dr. Eric Pietras, PhD. The lab is part of a richly collaborative
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: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD in biostatistics, statistics, or related field Experience using R and/or Python to carry out data analysis
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– Collins Laboratory Position #00836201 – Requisition #37086 Job Summary: This position reports directly to Dr. Cailin Collins, MD, PhD, and will work within Dr. Collins’ laboratory personnel, a component of
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prospectively maintained databases. Ensure data quality and completeness through regular validation and collaboration with clinical teams, registrars, and research staff. Serve as the primary contact for multi
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minimum qualifications at the time of hire. PhD in Computer Science, Artificial Intelligence, Human-computer Interaction, Computational Linguistics, Machine learning, Biomedical Informatics, or related
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determining fetal growth and long-term health. The research group employs physiological, molecular and translational approaches, and utilizes a wide variety of model systems including primary human trophoblast
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tissues/cells from PH patients. The Yu lab employs physiological, molecular and translational approaches. The labs utilize a wide variety of model systems including primary human pulmonary vascular cells