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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
Posting Information Posting Details Department Computer Science - 318400 Posting Open Date 11/20/2024 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
. radiology, sequencing, or text) or large language model-based approaches for extracting information from clinical notes at scale. The lab’s goal is to address the key technical challenges holding back
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academic environment that includes a large team of experts in AMO physics and quantum science. Qualifications A Ph.D. in Physics or a closely related field is required. The initial appointment will be one
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850,000 people that offers affordable homes and is often named one of the safest big cities in the United States. Shielded by mountains on three sides, El Paso enjoys more than 300 days of sunshine annually
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remotely-sensed data into models and decision support frameworks. Explore visualization and communication mechanisms that enhance utility of information for a diverse stakeholder group including producers
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candidates must have completed their Ph.D. by July before beginning the fellowship. Experience: Have at least 3 years of experience working with large data. Knowledge, Skills, and Abilities: Programming
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environments; a working knowledge of FORTRAN; experience working with large NetCDF data sets; experience with Matlab and/or Python; an interest in gaining experience with JEDI. Applicants with any
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large number of scientists around the world. Lab website: https://morl.lab.uiowa.edu/ Key areas of responsibilities for the post-doctoral fellow include but are not limited to proactively conducting
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the global water microbiome, examining the response of microbial communities to contaminants (U, nitrate, pH, Cr) important to the U.S. DOE, designing bioinformatics tools for ‘big data’ analysis, developing
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responsible for fabrication, characterization (both electrical and acoustic) and pre-clinical implementation (as part of a team performing both ex-vivo and large animal in-vivo studies) of catheter-based