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Field
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activation, RNA-seq, and molecular analyses to assess genome modifications. Pay and Benefits Pay Range: $63,480 depending on education/qualifications/experience Time Appointment: 100% Appointment Position
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vesicle isolation and characterisation, such as ultracentrifugation/SEC, nanoparticle tracking analysis and electron microscopy. Small-RNA/miRNA profiling, including small RNA-seq and/or RT-qPCR. Sterile
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modeling and computational approaches for bioactive compound analysis. •Next-generation sequencing, metagenomics, RNA-seq and transcriptomics analysis. •Multi-omics integration. •Bioinformatics and data
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, manuscripts, and presentations. Analyze high-throughput datasets, including RNA-seq and proteomics data. Collaborate with internal and external research teams. FLSA Exempt Grade Salary Details Minimum Salary
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, and to identify novel therapeutical targets. We are hiring a postdoc to work with RNA-seq data in order to identify circRNA implicated in complex traits including Alzheimer’s disease, Parkinson’s
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hematologic malignancies, using both human samples and animal models. Applies high-dimensional data analysis techniques, including single-cell RNA sequencing (scRNA-seq), multicolor flow cytometry, and systems
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-seq, RNA-seq, ATAC-seq and spatial transcriptome data. We are also interested in developing modern statistical approach for integration of multi-omics datasets and causal inference to understanding
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catabolic and pain-related molecules, as well as cellular (cartilage and dorsal root ganglia explant cultures) and molecular (qPCR, RNA-seq) analyses. Generate data associated with the pharmacologic
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Nanopore, with a strong emphasis on single-molecule chromatin fiber profiling (e.g. Fiber-seq). Applies and/or develops epigenomic and transcriptomic assays such as CUT&RUN and RNA-seq (including specialized
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developing, adapting or optimising experimental protocols Experience with high-throughput sequencing approaches (e.g. RNA-seq, ATAC-seq or related methods) Ability to critically assess data quality and