237 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at Stanford University
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: Postdoc positions renew yearly with an ideal total duration of 3 to 5 years. Appointment Start Date: Flexible (January-September 2026) Group or Departmental Website: http://hernandez-nunez-lab.com (link is
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to contribute, and that learning is constant. We seek a team member who is ready to share their skills and perspectives. About Stanford Libraries: Stanford University Libraries is a network of over 15 libraries
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education programs and certifications. More at http://facts.stanford.edu and http://www.stanford.edu. Connections working at Stanford University More Jobs from This Employer https://main.hercjobs.org/jobs
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join our team! Learn more about our team here: https://med.stanford.edu/lcgm.html . Duties include: Perform increasingly complex chemical, biochemical, biological and/or microbiological testing, assays
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scientists, and machine learning experts will be an essential and enriching component of the position. Strong candidates will have a background in machine learning and natural language processing (NLP), with a
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and early-onset cases without a known genetic cause. We are also interested in genetic interactions (epistasis), tandem repeats, machine learning, and other areas of AD research that have not yet been
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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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Centers: Genetics Postdoc Appointment Term: Initial 2 years then reappointment possible Appointment Start Date: Immediate Group or Departmental Website: https://med.stanford.edu/rabinovitchbland (link is
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. Through both policies and practices the office seeks to foster student development and learning. It plays a primary role in educating and training students, faculty and staff about their shared
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minimum of 12 months Appointment Start Date: Early/mid 2026 Group or Departmental Website: https://evodesign.org/ (link is external) How to Submit Application Materials: Please directly contact us at