326 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" positions at Stanford University
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census, cage inventory, and cage washing and sterilizing temperatures. * Good written and oral communication skills in English. * Ability to learn the techniques and procedures required to care for and
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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups
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of urothelial exfoliation in cancer therapeutics. The labs are committed to fostering a highly collaborative and scientifically rigorous environment. This position offers an excellent opportunity to learn about
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-based models as well as patient-derived xenograft models of liver cancer. This position is suitable for a highly motivated self-starter who excels in a dynamic environment offering varied learning
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receptor (CAR) T-cell therapies for pediatric solid tumors. The Ramakrishna laboratory focuses on optimizing CAR T-cell therapies for children with cancer by learning about the biology of these CAR T-cells
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REQUIREMENTS*: Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and write by hand