226 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at Stanford University in United States
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the U.S., the Global South, and Europe. Furthermore, they will be involved in analyzing, presenting, and publishing data related to the initiative’s ongoing and future projects. The successful candidate
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, stand/walk on hard surfaces, operate cage washing equipment. * Occasionally sit, twist/bend/stoop/squat, reach/work above shoulders, grasp forcefully, use a telephone, sort/file paperwork or parts, lift
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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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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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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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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