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. This project combines basic wet-lab bench research and animal (murine) studies. The Spin lab also works in direct collaboration with the lab of Dr. Philip Tsao (Stanford Professor). This position is full-time
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correlative data. • Integrate and interpret diverse data types to gain insights into TIL therapy outcomes and mechanisms • Collaborate with wet-lab researchers and clinicians to translate findings
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organoids. A combination of bioinformatic and wet-lab approaches We welcome applicants with experience in molecular biology, human ogranoid, neurobiology, RNA biology, or computational biology — or a strong
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disciplines such as physics, statistics or math. Have acquired machine learning, generative AI and computer science. Welcome either wet or dry background or both. Be highly creative, rigorous, collegial and a
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Biology A cancer molecular biologist at the level of Postdoctoral Fellow is sought to work in a hybrid (wet/dry) systems biology laboratory of Professor Sylvia Plevritis at Stanford University to study
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supported by recent extramural grant funding. This position is for a highly motivated individual with wet lab and animal (i.e., mouse) experience. This work will include components of blood coagulation