94 affective-computing-"https:" "https:" "https:" "University of St" Postdoctoral positions at Stanford University
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Intelligence (HAI), Stanford Digital Economy Lab Postdoc Appointment Term: 1-2 Years Appointment Start Date: Sept 1, 2026 Group or Departmental Website: https://digitaleconomy.stanford.edu/ (link is external
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Appointment Term: 1 year Appointment Start Date: June 1st, 2026 Group or Departmental Website: https://cepikalab.figma.site/ (link is external) How to Submit Application Materials: To apply, please submit
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Pediatrics Postdoc Appointment Term: 2 year Appointment Start Date: Open position How to Submit Application Materials: https://forms.gle/xuUxLuwf4cTcBvWs9 (link is external) Does this position pay above the
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Appointment Term: One year, with option to extend by mutual agreement Appointment Start Date: As soon as possible Group or Departmental Website: https://med.stanford.edu/pedcriticalcare.html (link is external
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research that supports and expands the impact of projects conducted in the Lab, particularly related to multimodal sensing, AI/computer vision applications, and community-engaged research Identify, recommend
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or Departmental Website: https://stanford.edu/group/tanglab/ (link is external) How to Submit Application Materials: Please apply through the following form: https://forms.gle/1vic3xFvaBt8qsRw7 (link is external
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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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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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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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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