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processing purchasing orders, managing travel, and composing correspondence. Job Duties Assists with CNRC Postdoctoral Fellowship program recruitment, correspondence, and onboarding of new postdocs. Schedules
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significance of the observations. Works will be based on models and techniques already established in the laboratory, the postdoc will likely need to set up new techniques and potentially establish new disease
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of Neuroscience. The Gao Lab studies the cellular mechanisms of neurodevelopmental disorders using cutting-edge proteomics, protein/genome engineering, and electrophysiological approaches. The postdoc will engage
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for independent funding opportunities. Mentor junior postdocs, graduate students, and summer trainees. Evaluate and analyze data from lab experiments and from other high-throughput analyses. Perform computational
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development, progression, metastasis, and prognosis. The Postdoc should have experience in processing and analyzing data from the next-generation sequencing and single-cell technologies (e.g., scRNA-seq
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. Postdocs will receive comprehensive training in working with hiPSCs-derived brain organoids and engage in interdisciplinary research. Baylor College of Medicine typically follows similar to the NIH
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characterizing materials in the lab, with a background in basic scientific programming (python/web) to build and leverage AI workflows. In addition to experimental work, the postdoc will work with our open-source
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institutional safety regulations, animal care protocols, and laboratory standard operating procedures. Work under junior faculties and postdocs and new laboratory personnel on experimental procedures and
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programs, and laboratory alumni have successfully transitioned into leadership roles in academia and biotechnology. The Postdoc is deeply committed to mentorship, scientific rigor, and professional
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Cancer Genomics and Evolution Laboratory, Prof. Dr. Peter Van Loo, Department of Genetics We seek talented and motivated postdocs in computational biology to join the Cancer Genomics and Evolution