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biology (DNA/RNA isolation, PCRs, gene expression, immunostaining, protein blotting, cell culture, developing disease models in mice, etc.). Technical Skills or Knowledge: Basic computer proficiency
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of malignancies, blood disorders, and experimental therapies. Job Summary Under supervision, the Research Technologist will be involved in a cutting-edge basic and translational cancer research program that
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‘Hospitalists’, focus their practice on the care of hospitalized patients. Although clinical needs have been the driving force behind the growth of Hospital Medicine nationally, our program has always had a major
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outcomes, while ensuring access to reliable and affordable energy. The EE Lab applies rigorous evaluation and modeling methods, including natural and field experiments, randomized controlled trials
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, visualizing, and analyzing research data. This job also performs assignments related to data manipulation, statistical applications, programming, analysis and modeling. This will involve implementing state
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lineage tracking Ensures data meets privacy and regulatory standards Supports predictive modeling, machine learning and business intelligence Ensures data is clean, timely, and accessible Uses observability
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computer science. Experience: Experience in python including torch and scikit-learn libraries – preferred with experience in working with image data or unstructured text data with large language models. Preferred
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preferred. Experience: Basic computer software programming experience required. Exposure to programming languages such as Python, HTML, CSS, JavaScript required. Exposure to ML models preferred. Relevant
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with EAS priorities. Pilots emerging technologies, frameworks, or models that support strategic institutional goals. Coordinates with business and academic partners to support enterprise applications
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to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications