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computational biology — or a strong interest in developing skills across these areas. A collaborative mindset and enthusiasm for both experimental and computational work are essential. The Hynes Lab is located in
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the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. The Mechanics and Computation Group (Department of Mechanical Engineering, Stanford University) is seeking applicants for the Stephen Timoshenko
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strong background in one or more of the following areas: computational biology, genomics, biochemistry, or neuroscience. A strong publication record demonstrating expertise in the relevant field. Team
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generation technologies Preparing quarterly and final reports for research grants Writing research proposals, peer-reviewed publications, and other program activities. Advising and mentoring students
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prepare manuscripts for publication. Lastly, there will be opportunities to mentor and train students and other learners. Required Qualifications: This position is for an individual with a PhD in immunology
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initial direction and community. Required Qualifications: • PhD in urban planning, environmental science, sustainability studies, geography, civil/environmental engineering, public policy, or related
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Posted on Tue, 06/10/2025 - 08:56 Important Info Stanford Departments and Centers: Graduate School of Education Pediatrics Psychology Postdoc Appointment Term: 3 year Appointment Start Date: Open position Group or Departmental Website: https://roar.stanford.edu/ (link is...
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Posted on Wed, 08/13/2025 - 18:56 Important Info Stanford Departments and Centers: Biomedical Informatics Neurosurgery Epidemiology and Population Health Biomedical Data Sciences Postdoc Appointment
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Posted on Thu, 03/06/2025 - 16:51 Important Info Deprecated / Faculty Sponsor (Last, First Name): Fisher, Philip Other Mentor(s) if Applicable: Sihong Liu, Research Associate Stanford Departments and Centers: Graduate School of Education Postdoc Appointment Term: Summer/Fall 2025 through...
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data