82 engineering-computation "https:" "https:" "https:" "https:" "https:" "CNRS " Postdoctoral positions at Stanford University in United States
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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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: 2 years Appointment Start Date: 9/1/2026 Group or Departmental Website: http://buddhiststudies.stanford.edu (link is external) How to Submit Application Materials: Applications should be submitted via
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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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or Departmental Website: https://www.husainlab.org/ (link is external) How to Submit Application Materials: Please submit application materials addressed to Dr. Sohail Husain and electronically to Dr. Olivia Tsai
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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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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
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and transplantation and to translate this knowledge into improved treatments. Required Qualifications: Individuals with a recent MD or PhD degree with skills in computational biology, bioinformatics
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alongside a team with expertise in flood modeling and collaborators in IIT Bombay. We encourage recent graduates with a PhD or equivalent degree from an epidemiology, biostatistics, data science, computer
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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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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