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in Microbiome research Apply for this job See advertisement About the position We invite applications for a Postdoctoral Research Fellow position in Microbiome research available at the Bioinformatics
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, Microbiology, or Bioengineering, and related field. Extensive experience in microbiome research, including DNA sequencing, metagenomics, and bioinformatics. Proficiency in designing microencapsulation and
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bioinformatics is preferred. Salary: Commensurate with experience **Optional** How to apply: Interested applicants should send (1) a cover letter or personal statement detailing previous/current research
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. Familiarity with scRNAseq, bioinformatics tools, and the analysis of large datasets is desirable but not required. If you are enthusiastic about pursuing innovative research in pediatric HIV and immunology and
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molecular cell biology (using techniques such as cell culture, CRISPR/Cas9 based genome editing, protein expression and interaction analysis, confocal and live cell microscopy), as well as bioinformatics
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and join fieldwork in up to three of these locations, perform laboratory analyses together with a research technician, and perform the bioinformatic and statistical analyses of the genomic data
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cell culture, CRISPR/Cas9 based genome editing, protein expression and interaction analysis, light microscopy and cancer assays. A solid background in data analysis, bioinformatics and presentation
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ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for Biology
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peer-reviewed journals* Ability to work both independently and within a group Mouse embryo work, bioinformatic analysis and imaging of 3D embryos/organoids (Desirable) *Minimum Criteria About us The
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Office of Women's Health Grant Program (OWH GP) | Southern Md Facility, Maryland | United States | 12 days ago
opportunity to: Develop understanding of sex-biased miRNA regulation in hemostasis and coagulation protein expression Learn to apply in-silico prediction tools and bioinformatics approaches to identify miRNA