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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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prime genome editors with human cell-based directed evolution. Develop scalable methods to characterize large numbers of CRISPR genome editing variants for activity and specificity with massively parallel
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. Analyzes large data sets. Analyzes next generation sequencing data (e.g., RNS-seq, whole genome/exome sequencing). Uses state-of-the-art bioinformatical and statistical tools. Develops new statistical
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several areas of ongoing research in the laboratory, including the isolation and genomic analysis of large DNA viruses, cultivation of diverse hosts, analysis of evolutionary relationships and genomic
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-based models, and remote sensing technologies. Required Qualifications • Ph.D. in Civil or Environmental Engineering, Hydrology, Data Science, Geosciences, Computer Science, or a related field. PhD must
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, and large language models (LLMs), for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics) and large textual corpora (e.g., scientific literature). Our
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disclosure requirements Experience with developing training materials. Experience with organizing information and data into a report. Experience in higher education. Experience working in a large complex
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for analyzing large-scale data; Excellent academic writing skills in English, with the ability to produce publishable papers and professional reports. Candidates are expected to have a strong background in
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sponsor disclosure requirements Experience with developing training materials. Experience with organizing information and data into a report. Experience in higher education. Experience working in a large
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, manuscripts, and grants, as well as the management of large clinical datasets. Job Description: Job Duties Outlined Research Overview: will perform research in the areas of data management and health outcomes