33 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" Fellowship research jobs at City of Hope
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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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, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellowship position is available in the RSP Lab led by Dr. Sklavenitis Pistofidis. The RSP Lab (https://rsplab.org ) leverages
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. Gu’s lab and research, please visit: https://gu-lab.net and https://www.cityofhope.org/Zhaohui-Gu As a successful candidate, you will: Design and execute experiments to understand the molecular
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-life environmental exposures and the prenatal origins of childhood leukemia, for example in our ReCord Study (https://record.umn.edu ). Applicants are required to submit a CV accompanied by a cover
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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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. 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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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