261 machine-learning-"https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" 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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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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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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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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: 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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(REQUIRED): Advanced computer skills and demonstrated experience with office software and email applications. Demonstrated success in following through and completing projects. Excellent organizational skills
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to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment VISA. About Us The Stanford Doerr School of Sustainability strives to create a future when humans and
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: Physics Postdoc Appointment Term: 2-years Appointment Start Date: As soon as possible Group or Departmental Website: http://aaronsharpe.science (link is external) http://ggg.stanford.edu (link is external
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files for immediate access to your resume, you must apply to http://stanfordcareers.stanford.edu and in the key word search box, indicate Requisition #108558 A cover letter and resume are required
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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