284 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at Stanford University in United States
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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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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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Date: Start date will be mutually agreed upon between program leaders and the applicant. Group or Departmental Website: https://med.stanford.edu/autismcenter.html (link is external) How to Submit
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Appointment Term: Open-ended Appointment Start Date: ASAP Group or Departmental Website: https://hinshawlab.stanford.edu/ (link is external) How to Submit Application Materials: Please submit your application
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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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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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records. PHYSICAL REQUIREMENTS*: Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand
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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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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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: 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