97 computer-science-intern "https:" "https:" "UCL" Postdoctoral positions at Stanford University
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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 science
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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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for Spatial Biology Description: The Lu Lab at Stanford University is seeking a postdoctoral fellow with deep expertise in advanced AI and generative modeling to develop computational frameworks that transform
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, candidates should possess a strong background in quantitative fields such as Mathematics, Physics, Engineering, or Computer Science. This is a collaborative, cross-functional team, and project assignments will
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initiative to reimagine economic theory and metrics for an AI-powered future. (https://digitaleconomy.stanford.edu/the-economics-of-transformative-ai/ (link is external) ). The Stanford Digital Economy Lab
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, genomics, molecular biology, computational biology, or a related field Hands-on wet-lab experience with sequencing-based assays (RNA-seq, single-cell genomics, or related methods) Experience working with
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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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Summer 2026, with the potential for renewal. Required Qualifications: PhD in education, economics, sociology, computer science, public policy, or a related field Demonstrated expertise in PK-12 education
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offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range
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on campus Required Qualifications: Doctoral degree in engineering (civil/environmental engineering, urban planning, computer science, electrical engineering); preferably having collaborated with social