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Field
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Do you want to combine high-throughput directed evolution with machine-learning analysis of deep sequencing data to engineer better antibodies? The Sormanni Lab in the Department of Chemical
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desirable For computationally focused candidates: proficiency in a scripting language (e.g., Python, R) and experience analyzing next-generation sequencing data; experience with statistical modeling
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, bioinformatics, infectious disease epidemiology or a related discipline. Have experience with molecular biology and next-generation sequencing. Have strong computational skills (e.g. Linux, R, Python). An interest
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testing. A campaign layer, driven by Bayesian optimization, decides which experiment to run next. The postdoc will own the system architecture below that layer: the PLC and instrument control, the software
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, functional cellular assays, and epigenetic techniques such as ChIP, CUT&RUN, and chromatin accessibility assays. Opportunities to utilize and develop expertise in next-generation sequencing and genomic data
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National Institutes of Health (NIH) | National Institute of Technology, Tamil Nadu | India | 23 days ago
interface of genomics, bioinformatics, and translational neuroscience. Required qualifications: M.D. or Ph.D. (or M.D., Ph.D.) in a relevant life science discipline Experience analyzing next-generation
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Generation Sequencing pipelines (single-cell RNA-Seq, single-cell ATAC-Seq, spatial transcriptomics analyses etc...). Excellent critical thinking, research, and analytical skills. Excellent communication and
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, generation and analysis of sequencing data, -omics techniques, bioinformatics, biochemistry, and analytical chemistry (HPLC, LC-MS). Responsibilities will include: ● Conducting experiments independently
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, research and outreach programs. What we want The Postdoctoral Research Associate will work in the Large Animal Clinical Sciences department and provide technical advice and support in the following areas
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Join a growing interdisciplinary research team developing next-generation tools for biodiversity monitoring and environmental genomics. The Department of Ecoscience at Aarhus University invites