3,060 phd-position-in-data-modeling-"Prof"-"Prof" Postdoctoral positions in United States
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for arbovirus surveillance in the wild through data collation and analyses, (4) conduct epidemiological modeling and analytics for data generated from the project and (4) provide regular technical support to
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month ago
learning with physics-based models, and/or improve processing of remotely-sensed Earth Science data. The fellow will be a part of the NASA Earth eXchange (NEX). Current NEX activities include exploiting
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at: lynette.cegelski@gmail.com (link sends e-mail) Does this position pay above the required minimum?: No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral
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A postdoctoral position is available for a highly motivated individual interested in the neural circuit mechanisms of schizophrenia. Our laboratory conducts behavioral and 2-photon laser-scanning
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Posting Details Posting Details Posting Number S06490P Position Title Post-Doctoral Research Associate Functional Title Department Neuroscience Salary Range $56,000, DOQ Pay Basis Monthly Position
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working with CRISPR editing tools is essential, and working with 3D cell line models is preferred. Experience with processing and analyzing genomic sequencing data is essential, and working with
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to Thomas Ernst, Ph.D. (ternst@som.umaryland.edu ) with a cover letter highlighting key qualifications and experience, current CV and contact information for three referees. Qualifications The position
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We are seeking a highly motivated and skilled individual to join our neuroimaging laboratory, which specializes in multimodal image fusion, multiparametric modeling, and machine learning techniques
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Georgia Institute of Technology, School of Physics Position ID: GaTech-School of Physics-GHOSH [#30396, Job ID 288982] Position Title: Position Type: Postdoctoral Position Location: Atlanta, Georgia
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employ advanced analytical methods in large databases, which include claims data and electronic health record data in conventional structures and in common data models. Our research group prioritizes a