96 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"FORTH" positions at City of Hope in United States
Sort by
Refine Your Search
-
, is a transplant and CAR T cell immunology laboratory at City of Hope. The lab has an outstanding academic environment focused on immunology, microbiota and bone marrow transplantation and has a strong
-
, 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
-
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
-
Oncology Department at City of Hope is the largest Radiation Oncology enterprise in the southern California with more than 25 Linear Accelerators (Linacs) including special designed machines such as MR
-
communication and problem-solving skills and able to function independently and proficiently · Demonstrable computer skills in Microsoft Word, Excel, and/or Microsoft Access as well as skills in data
-
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
-
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
-
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
-
. 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
-
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