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single-particle cryo-EM—to reveal the architecture, mechanism, and evolution of these defense systems. The postdoc will have direct access to a 200 keV Thermo Fisher Talos Arctica equipped for high
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measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with modern deep learning frameworks (PyTorch, JAX, or equivalent). Have
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DNA-based approaches. Interactions among nitrogen-fixing organisms (diazotrophs), fungi, and plants may also be explored. The postdoc will join the Forest Vegetation Ecology group and be supervised by
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should have experience with immunology and are comfortable working with mice and/or patient samples. In addition, candidates with research experience with bioinformatics and next-generation sequencing
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cellular biology, electrophysiology, imaging, genetic and whole-animal cardiovascular assays. This position represents an opportunity to work side-by-side with talented graduate students, postdocs, and
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causal and druggable targets. We are seeking motivated postdocs with strong analytical skills to join our effort and generate novel insights of neurodegeneration with this unique dataset, while working in
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immunology and bioinformatic analysis (e.g., scRNA-seq) (highly desirable). Skills in in vivo models are an advantage. Ability to work independently and collaboratively within a diverse, international team
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ranging from (bio)chemistry and physics to bioinformatics and cell biology. Our drive is to push boundaries in our aim to visualise molecular processes in their native context and at the highest possible
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Therapy Postdoc Appointment Term: 1-year term with possible extension Appointment Start Date: As soon as possible (ASAP) Group or Departmental Website: https://med.stanford.edu/ross-lab (link is external
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Posted on Tue, 03/03/2026 - 15:13 Important Info Faculty Sponsor First name: Sheri Faculty Sponsor Last Name: Krams Stanford Departments and Centers: Microbiology and Immunology Postdoc Appointment