256 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions at Stanford University in United States
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join the group to develop AI and machine learning based software to assist clinical workflow and pre-clinical studies. Required Qualifications: Ph.D. in a physical science or engineering field Strong
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subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due
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excellence and values innovation, collaboration, and life-long learning. To foster the talents and aspirations of our staff, Stanford offers career development programs, competitive pay that reflects market
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and make a significant impact on patient care and treatment outcomes. To learn more about the Department please visit us at: https://ortho.stanford.edu/ The ideal will demonstrate: Outstanding
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knowledge in bioinformatics, machine learning, statistics and programming skills (R, Python, or MATLAB) are required. Record of peer-reviewed publications. Knowledge in one or more of the following areas is
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to significantly extend our existing team’s capabilities for data scoring and analysis (e.g., with expertise in natural language processing, machine learning, or computational modeling). Finally, the
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invite you to join our team! Learn more about our team here: https://med.stanford.edu/lcgm.html . Duties include, but are not limited to: Serve as property operations / maintenance point of contact
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Law School seeks to hire a Junior Data Scientist to support routine data cleaning, dataset preparation, and the construction of standard machine learning pipelines. This role supports the core research
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principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific
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, machine learning, statistics and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling