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/ transcriptomics / single cell analysis / high throughput sequencing data processing • Experience in working with deadlines and being involved in multiple projects simultaneously • High
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to characterize fish diversity across a vertical depth gradient using high-throughput sequencing data as well as organize and help lead a field expedition in Puerto Rico. There will also be opportunities
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the laboratory manager and Principal Investigator. 6. Mining large sequencing data sets Department Specific Qualifications Education: PhD in Molecular Biology, Immunology, Physiology or related field Experience
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data analysis for omics studies, including genotype data, bulk and single-cell RNA sequencing data, high-dimensional phenotype data, pathway and functional analysis, network analysis, polygenic risk
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, and experience with mice is preferred. Lab also uses cutting edge technologies like bulk and single cell RNA sequencing, PDX organoids, co-culture organoid system of stem and immune cells and multiplex
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Immunohistochemical staining preferred. Experience with sequencing data analysis preferred. Education Requirements (Essential Requirements): PhD required Work Experience Requirements (Essential Requirements): Work
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, ethical frameworks, and best practices related to the use of AI in medical education. Establish an independent research agenda under the mentorship of faculty from both departments, aligned with
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are changes in gene expression that do not involve alterations to the DNA sequence. This could involve studying DNA methylation, histone modification, chromatin remodeling, and non-coding RNAs. Experimental
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, coatings, and microneedles. Multiple physical, chemical, and mechanical characterization techniques such as SEM, FTIR, NMR, rheology, and nanoindentation will be used to evaluate the properties of our
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), immunofluorescence and/or immunohistochemistry, sterile cell culture technique, western blots, flow cytometry Perform genomic data analyses from next generation sequencing data (eg. RNAseq, scRNAseq, spatial profiling