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Field
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minerals and materials (CMMs) transporters. This platform will enable functional screening of large transporter libraries across multiple metals, generating sequence-to-function datasets to advance
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, and large-scale, AI-ready data resources. As a Department of Energy (DOE ) Office of Science user facility supported by the Biological and Environmental Research (BER ) program, JGI advances BER’s
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computer science, mathematics, data science, or any computational science discipline who will have received their Ph.D by Oct 1, 2027. and have completed no more than three years of postdoctoral work are encouraged
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funding. Develop and apply analytical pipelines integrating high-throughput proteomic data with metabolomic, genomic, and clinical datasets from large prospective cohort studies to identify biological
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studies, and how information about benefits, harms, and uncertainty is communicated to clinicians, patients, and payers. We welcome applications from recent PhD graduates and postdoctoral fellows who
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models, and efficient algorithms for large-scale genomic data analysis. This is a one-year appointment starting as early as possible, with renewal possible based on the availability of funds, availability
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into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging
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quantitative research methodology and advanced statistical analysis, including experience with large longitudinal or population-level datasets Background in at least two of the following areas: epidemiological
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large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many individual
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complete application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant