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opportunities to work with large-scale whole genome and whole exome sequencing, RNA-seq, ATAC-seq, proteomics, and metabolomics data in a well-established cohort of childhood cancer survivors with clinically
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program
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analysis, as well as familiarity with electronic health data, will be distinct advantages. Experience in large-scale machine learning modeling is also required. Strong writing and communication skills with
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platform to identify pathogenic genetic variants at large scale. The successful candidate will be expected to contribute to research experimentation including but not limited to: Molecular, Cell Biology and
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to evaluate disequilibrium in trait–environment relationships across time and space. Analyze trait, fossil, and environmental datasets to assess climate tracking and climate fidelity. Collaborate with a large
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expertise in Neuropixels or other large-scale in vivo electrophysiology techniques. An expert neural data analyst may be considered even with minimal animal experience. Required Application Materials: Cover
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candidate will receive training in analyses of single-cell and bulk-tissue multi-omics data and be expected to participate in multiple projects involving design, implementation and integration of large-scale
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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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(e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a
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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