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Health (HPH) (link is external) and Project Unleaded (link is external) for an exciting postdoctoral fellowship that contributes to a high-impact global program with a mission to create a healthier world
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backgrounds trained in chemistry, chemical biology, microbiology, and/or biophysics fields. We have launched a collaborative antibacterial drug design program integrating chemical biology and mechanistic
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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
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will have connections to both the Molecular Imaging Program at Stanford (MIPS) and the Radiological Sciences Laboratory (RSL). The ideal candidate for this position will have interest in being trained in
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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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immunology. Preferred qualifications: Experience in immunology, human immunology, mammalian cell culture, multi-color flow cytometry, cell sorting, gene transfer, murine models, computational biology, and
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with colleagues throughout the Global South and Europe (e.g., Colombia, Brazil, Germany, Italy) to advance basic research and translational science related to the Identity Project – a school-based
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Digital Economy Lab Human-Centered Artificial Intelligence Computer Science Postdoc Appointment Term: 2 years Appointment Start Date: ASAP Group or Departmental Website: https://digitaleconomy.stanford.edu
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graduates of PhD programs in statistics, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research
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Planetary Health (HPH) (link is external) and Project Unleaded (link is external) for an exciting postdoctoral fellowship that contributes to a high-impact global program with a mission to create a