116 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at City of Hope
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to immunotherapies for type 1 diabetes as well as somatic variants in the pancreas and immune cells of organ donors with type 1 diabetes. For more information on the Shapiro Laboratory please visit here: https
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, glioblastomas, colon cancer, and lung cancer. Advancing precision oncology through machine-learning models: We integrate multimodal patient data, including multiomic data and health record information, to develop
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models to study metabolic diseases is preferred. For a complete list of Publications please visit here: https://www.ncbi.nlm.nih.gov/myncbi/1J54E41I5YVku/bibliography/public/ Your qualifications should
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a two-year commitment is required. For more information on the Arthur Riggs Diabetes & Metabolism Research Institute please visit here: https://www.cityofhope.org/research/riggs-institute/diabetes
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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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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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· 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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. 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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the pathophysiology of type 1 and type 2 diabetes and identify therapeutics for its treatment. You should be highly self-motivated, have a strong desire to learn, and have great compassion and interest with medical and