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Field
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Production team and across the wider Rubin Data Management project. In this position you will help develop and operate important elements of the LSST data processing algorithms and software (including work
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the opportunities and challenges presented by artificial intelligence. Bowdoin College offers opportunities for professional development, a fully-funded, year-long pre-tenure sabbatical leave (after three years
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, the Student Assistant develops social media campaigns, captures photo and video content, designs marketing materials, and represents the department at campus outreach and recruitment events. The Student
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to the development of data algorithms and specialized computer software for identifying and classifying components of biological systems (such as DNA and protein sequences). Support the creation and maintenance
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
, recreation and professional opportunities that span the campus and community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, recreation and professional opportunities that span the campus and community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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wide range of components developed and maintained in-house, in addition to third-party tools, libraries, frameworks and technologies. See Why Join Us at https://www.rcsb.org/pages/jobs#whyJoinUs Posting
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University invites applications for a tenure-track position at the Assistant Professor level in quantum information science beginning in August 2027. Applicants must demonstrate the potential for developing
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analysis using simulation-based inference (SBI) with domain adaptation techniques. The work centers on developing robust, transferable inference pipelines that bridge the gap between synthetic simulations