65 experience-design-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Duke University
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other primary brain tumors. Design, perform, and interpret laboratory experiments using patient-derived blood and tumor specimens. Analyze and integrate genomic, transcriptomic, proteomic, spatial
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Innovative Research Design, develop, and conduct independent research studies investigating migraine and pain mechanisms. Develop and execute experimental strategies that integrate cellular, molecular, imaging
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intellectually curious, works well independently and as part of a team, and is committed to rigorous, reproducible science. Research experience in cellular neurobiology and/or O-GlcNAc signaling or glycobiology
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. The candidate should be comfortable troubleshooting experiments, interpreting unexpected results critically, working across disciplines, and helping move projects from experimental design to publication
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Qualifications:. PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics, Computational Biology, Information Science or a related field. Experience in at least one of the following
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. Candidates with background knowledge and hands-on experience in mouse models, proteomics, 3Dorganoids,primary cells purification and culture skills are particularly welcome. Minimum Requirements: Ph.D
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will possess a PhD or equivalent doctoral degree in an engineering or physical science discipline with some research experience related to critical minerals. They must be able to communicate
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, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences
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. The Postdoctoral Associate will design and perform experiments to validate therapeutic targets, develop and test CAR T-cell strategies, and evaluate treatment effects in DMD mouse models. Key responsibilities will
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cancer, or related field Preferred Qualifications: Experience working with mammalian cell culture and animal models of cancer (xenografts and GEMMs) Familiarity with next-generation sequencing platforms