246 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" positions at Stanford University in United States
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Appointment Term: July/August 1, 2026 to June/July 31, 2027 (renewable) Appointment Start Date: August 1, 2026, with some flexibility Group or Departmental Website: https://scale.stanford.edu/ (link is external
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option for extension Appointment Start Date: start date flexible / rolling Group or Departmental Website: http://cfna.stanford.edu (link is external) How to Submit Application Materials: Email: weigu
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based on performance and funding). Appointment Start Date: Flexible Group or Departmental Website: https://med.stanford.edu/neurology.html (link is external) How to Submit Application Materials: Please
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testing of the Identity Project and the E4 Teacher Professional Development program in the United States – identifying feasible and effective strategies to support educators as they prepare to implement
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Date: As soon as possible Group or Departmental Website: https://naturalcapitalproject.stanford.edu/ (link is external) How to Submit Application Materials: Send an email with your attachments
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substances. * Must perform tasks that require the use of personal protective equipment, such as safety glasses and shoes, protective clothing, and gloves; may require use of a respirator. * May be exposed
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interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology
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the scope and impact of our studies. Current research themes include: The impact of GLP-1 receptor agonists on metabolic outcomes and surgical decision-making in bariatric patients Computer vision analysis
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microorganisms, chemicals, gasses, or hazardous materials. Expected to follow all safety requirements and procedures including wearing appropriate clothing. The expected pay range for this position is $33.33 (Step
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research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic disease. Key