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models, applying CRISPR/Cas9 based gene knockout or other base/prime editing methods for human cells, such as T and B cells, induced pluripotent stem cells (iPSCs) and hematopoietic stem cells, and
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molecular and cell biology assays, generating iPSC and organoid models, applying CRISPR/Cas9 based gene knockout or other base/prime editing methods for human cells, such as T and B cells, induced pluripotent
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written communication skills in English. Contract terms This is a full-time postdoctoral position with a fixed term of two years. Supervision and support will be provided for both experimental and modeling
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terms This is a full-time postdoctoral position with a fixed term of two years. Supervision and support will be provided for both experimental and modeling studies. Please observe: Since the department is
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sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models that unlock
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mathematics as a major: Applied Mathematics program (bachelor's program), Mathematics and Modelling (master's program), and a Master of Science program in Engineering Mathematics. In addition to these programs
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings
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esophageal tissue using a variety of mouse models, organoid co-cultures and spatial sequencing technologies to identify relevant cell-cell interactions. We seek a curious, highly motivated, and creative
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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
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Experience with serology and high-parameter flow cytometry Expertise in statistical and bioinformatic analysis of immunological datasets Experience with the development or use of viral infection models