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, genomic data analysis, statistics, or computational analysis of sequencing/genotyping data is also preferred. Preferred Experience: -Experience conducting molecular genetics, genome engineering, or
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with expertise in quantitative image analysis. Experience analysing large biological datasets, including RNA sequencing, metabolomics, proteomics or whole-genome sequencing data, is essential, along with strong
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, genomics, or computational analysis of high-dimensional datasets. Experience with one or more of the following: Flow cytometry Single-cell sequencing Spatial transcriptomics Multiplex imaging Bioinformatics
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the Horticultural Sciences Department and the Crop Transformation Center (UF/IFAS CTC). The Baysal Lab seeks a motivated Postdoctoral Associate to advance plant transformation and genome engineering. The position
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checks. Preferred qualifications: · Demonstrated expertise in evolutionary and ecological genomics · Expertise in analysis of whole-genome sequencing datasets · Programming for bioinformatics
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, including breeding, tissue collection, and record-keeping. Perform whole-genome sequencing (WGS) and validation analyses. Conduct genome-wide DNA methylation profiling. Isolate RNA from oocytes and somatic
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. Experience analysing large biological datasets, including RNA sequencing, metabolomics, proteomics or whole-genome sequencing data, is essential, along with strong quantitative and computational skills
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spirochetes; ticks or other arthropod vectors; mouse models of infection; bacterial genetic manipulation; fluorescence or electron microscopy; genome sequencing, RNA-seq, or bioinformatics. Experience
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genomics, bioinformatics, or a related field. Previous experience in the analysis of next-generation sequencing data will be considered an advantage. The ideal candidate will have a solid background in
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, protein expression and purification Sequencing-based assays (RNA-seq, single-cell genomics, or related methods) Analyzing genomics datasets in Python or R Prior experience with Class I or Class II tetramer