23 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions at City of Hope
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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
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is an equal opportunity employer. To learn more about our Comprehensive Benefits, pleaseCLICK HERE .
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· Good problem-solving and time management skills, ability to design and conduct independent research, learn new techniques, knowledge of the literature, critical interpretation of data and clear data
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employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please
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. To learn more about our Comprehensive Benefits, pleaseCLICK HERE .
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years, are encouraged to apply. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn
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location. City of Hope is an equal opportunity employer. To learn more about our commitment to diversity, equity, and inclusion, please click here .