11 collaborative-learning Postdoctoral positions at Washington University in St. Louis
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track how viruses replicate, disseminate, and transmit. By pairing cutting-edge technology with collaborations across global health partners, the lab works to unlock the mechanisms driving infection
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, and machine learning within the scope of ACAG. The postdoc will have various opportunities for professional development, including contributing to and leading grant proposal development (e.g., external
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the genetics of Alzheimerâ™s disease and related dementias. They will learn state-of-the-art strategies to integrate a breadth of â˜omics (proteomics, single cell, etc.) and biomarker data (derived from plasma
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of neurodegeneration with this unique dataset, while working in a highly dynamic multidisciplinary and collaborative environment. The new postdoctoral fellow will join a large team, currently twenty members, which is
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elsewhere in the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory
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to carbon fiber crystallinity (via Raman, XRD, DSC, mechanical testing, etc.). The work takes place in a highly collaborative environment within the Department of Chemistry and benefits from WashUâ™s state
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, draft high-impact manuscripts, and write grant applications (e.g., K99/R00, F32, or foundational grants). Collaborative Mentorship:Â Engage in high-level scientific discourse with our senior scientists
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: No additional certification/professional licenses unless stated elsewhere in the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Collaboration, Data
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stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Genome Editing, Laboratory Operations, Laboratory Techniques, Molecular Biology, Mouse
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. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory