285 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions at Stanford University
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, collaboration, and life-long learning. To foster the talents and aspirations of our staff, Stanford offers career development programs, competitive pay that reflects market trends, and benefits that increase
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) and Google Workspace (Google Drives, Docs, and Sheets). Experience with Zoom and willingness to learn hybrid meeting technology. Ability to interact with a broad spectrum of academic clients. Prior
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records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general
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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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of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance
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. Substantial experience with MS Office and analytical programs. Ability to prioritize workload. PHYSICAL REQUIREMENTS*: Sitting in place at computer for long periods of time with extensive keyboarding/dexterity
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deliver reliable software with minimal supervision. Strong written and verbal communication skills in English. PHYSICAL REQUIREMENTS*: Constantly perform desk-based computer tasks. Frequently sit, grasp
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REQUIREMENTS*: Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. * - Consistent with its obligations under the law
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: Collaborate and participate in large consortia to assess needs and requirements Design and develop machine learning models for genomics applications Maintain and update existing deep learning frameworks
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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