75 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" uni jobs at City of Hope
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, or designee, the Research Associate I will perform a variety of research experiments. The van den Brink Laboratory, is a transplant and CAR T cell immunology laboratory at City of Hope. The lab has
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the endogenous immune system. We use this information to design solid-tumor targeted CAR effector cells with improved persistence and potency, as well as the ability to amplify the antitumor immune response. As a
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people that focuses primarily on autologous production of >60 CAR-T therapies per year in support of early clinical trials. Additional relevant areas of expertise are manufacturing of TILs and CAR-NK. As a
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motivated Research Associate II (RA II) to join our team. The Caligiuri lab focuses on NK cell biology, cancer immunotherapy through engineered CAR T and/or CAR NK cells, oncolytic virotherapy, antibody
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translational immunology laboratory at City of Hope focused on cancer immunology, hematopoietic cell transplantation (HCT), and cellular therapies including CAR T cells. The Thymus Research Group specifically
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work. Work in a highly cross-functional environment together with specialists in immunology and deep learning Implement newly-released machine learning models on a GPU cluster Contribute to the design of
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facility working with the Director, Brian Armstrong, Ph.D. This position is for someone who enjoys working with people and helping scientists to achieve their imaging goals. You will be required to teach and
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· Demonstrable computer skills in Microsoft Word, Excel, and/or Microsoft Access as well as skills in data management and analyses. City of Hope employees pay is based on the following criteria: work experience
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to identify activated protein circuits in rare blood stem and progenitor cell populations, including therapeutic chimeric antigen receptor (CAR) T cells, and use that knowledge to improve and devise new
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pathogenesis. You should have good organizational skills, experience in performing routine laboratory methods, and a mindset to learn new scientific skills. As a successful candidate, you will