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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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into clinical applications. Learn more at https://med.stanford.edu/ctru.html . We are seeking a full time Deliverer I to pick up and deliver laboratory specimens, reagents, or other lab supplies to and from
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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
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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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of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Proficient computer skills and demonstrated experience with office software and email applications. Demonstrated success in
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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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: The Learning Variability Network Exchange (LEVANTE) is an open-source, online assessment platform that is designed to provide a framework for measuring developmental variability across cultures (http
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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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applications (e.g., Word, Excel, Google Sheets, CriticalArc) and the ability to adapt to new technologies and processes. Upon request, retrieve and analyze queried information from databases. * Ability
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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