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Field
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mechanisms, with a track record of creative research in molecular biology, cell biology, genomics, imaging approaches and/or bioinformatics. If selected for this position, you will be expected to: Develop and
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and a strong desire to gain experience in bulk and spatial metabolomics. Solid bioinformatics skills, including familiarity with tools for analyzing omics datasets and integrating molecular data. About
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be ideally be proficient with microbial genetics, molecular microbiology, basic tissue culture and molecular biology techniques. Prior experience with bioinformatics (microbial sequencing and
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strong background in computer science and bioinformatics analysis of large datasets. The applicant should be highly self-motivated and have a track record of publications (first-authored publications in
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. Practical knowledge of bioinformatics. Skills Essential: C1. Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources, and practices
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neutrophil biology. Proficiency in analyzing large-scale single-cell RNA sequencing datasets. Experience with R programming and familiarity with relevant bioinformatics packages (e.g., Seurat, Bioconductor
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a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science, Neurological Genetics or a closely related discipline. Excellent oral
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bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology
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Category Full-Time Faculty Department Biology Position Summary The Daigle Lab of Bioinformatics and Systems Biology at the University of Memphis (UofM) is recruiting a postdoctoral fellow to develop and
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or bioinformatics and a keen interest in cancer biology. Extensive and demonstrated experience in scRNA-seq, spatial transcriptomics, with image analysis experience an advantage. A proven publication