106 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "FEUP" research jobs at Stanford University
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collaboratively. Preference will be given to candidates who are currently completing the last year of their PhD or graduated from their PhD program in the past year. Required Application Materials: One-page
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and Centers: Ophthalmology Postdoc Appointment Term: 1 year with renewal based upon performance Appointment Start Date: ASAP Group or Departmental Website: https://med.stanford.edu/kapilofflab.html
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; create reports, review and explain trends; formulate and evaluate alternative solutions and/or recommendations to achieve the goals of the research program Co-design sensing methods and protocols with
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that the postdoctoral fellow is able to establish some projects for subsequent publication or contribute to the creation of a new research program. The postdoctoral fellow will contribute to one or more of the projects
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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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Postdoctoral Affairs. The FY25 minimum is $76,383. The Stanford Natural Capital Project seeks candidates to support a research program aimed at the implementation and scaling of natural capital approaches within
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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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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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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