339 data-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United States
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research described above. Data collection, data curation, data organization and data analysis, bioinformatic analysis, run computational pipelines, survey literature. Properly document lab notebooks
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is research excellence and fit with the lab’s focus. More information on the lab’s research is available here . We especially encourage candidates with proven experience in applying computational and
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representative papers. Candidates are also required to submit the names and contact information for at least three and up to five references, and the application is complete only when three letters have been
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Position Details Position Information Announcement Number STAFF - VA - 26198 For questions regarding this position, please contact: Neil Cornish Regents Professor (406) 994-7986 ncornish@montana.edu
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required at the time of application; however, letters will be collected for finalists. Candidates should submit with their application contact information for two to three references from experts
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candidates should submit a cover letter, CV, a brief research proposal, and two to three references’ names and contact information. Applications will be reviewed on a rolling basis until the position is filled
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics, and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer
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bioinformatics, computational biology, genomics, statistical genetics, or a related quantitative field, together with demonstrated expertise in large-scale genomic data analysis and significant experience in
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assessments • Data analysis, interpretation, and presentation • Preparation and review of safety narratives • Presentation to internal and external stakeholders • Professional communication including verbal and
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to a deeply decarbonized and reliable energy system. The Postdoctoral Fellow will work closely with the project directors and collaborators to develop data-driven and economically grounded frameworks