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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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. The selected candidate will assist with projects involving analysis of longitudinal data with missing, correlated data, and truncated outcome data. Pursuit of independent research that aligns with the project
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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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preliminary data, including: · Investigating the role of a key protein in regulating vesicle trafficking, with relevant biological endpoints already identified. · Exploring the differentiation
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design and AI-driven systems to improve healthcare decision-making and information delivery. Our research includes clinical decision support, user interface design, and the use of language technologies
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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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experiments, analyze data, and interpret and publish results. It is the Fellow’s responsibility to fully understand the technical details of Dr. Collins’ projects as well as how each applies within the larger
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diagnosed and treated for pancreatic cancer Collect clinical data from patients diagnosed with pancreatic cancer, including both resected and non-resected cases, across all stages of treatment, in
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to the research project Record results of experiments: tabulate research data and maintain a detailed, easily understandable laboratory notebook Interpret experimental results Collaborate with PI and others in
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outcomes. Preliminary data shows that administration of 5 candidate placental proteins in prematurely delivered guinea-pig pups had a remarkable positive effect, including reducing mortality from 33% in