240 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at Stanford University in United States
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to apply theoretical knowledge of science principles to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master
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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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eligible to work and live in the U.S. The School of Engineering Stanford Engineering has been at the forefront of innovation for nearly a century, creating pivotal technologies that have transformed
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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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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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Appointment Term: July/August 1, 2026 to June/July, 2027 (renewable) Appointment Start Date: August 1, 2026 (flexible) Group or Departmental Website: https://pedl.sites.stanford.edu/ (link is external) How
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must be authorized 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
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learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance. Excellent organizational skills and demonstrated ability to accurately
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Metabolism Postdoc Appointment Term: 2 years Appointment Start Date: Rolling admission, applicants can apply as soon as possible. Group or Departmental Website: https://www.research.va.gov/programs/bd-step
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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