119 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at City of Hope
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Fellowship position is available in the RSP Lab led by Dr. Sklavenitis Pistofidis. The RSP Lab (https://rsplab.org ) leverages advanced multi-omic technologies, coupled with experimental perturbations and
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successful candidate, you will: This project with Dr. Nagarajan Vaidehi involves developing and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in
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experience in working with Linux HPCs · Experience in applying machine learning methods to genomics data analysis · Experience in navigating public databases and genomics data repositories
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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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. This project involves the development and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in the dynamics of G-protein coupled receptors to enable
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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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conditions. For more information on Dr. Dhawan and her research please visit here . As a successful candidate, you will: · Have a willingness to learn and establish new methodologies and research