5,714 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" research jobs in United States
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developing study designs, programming experiments, data collection and analysis, manuscript preparation, research presentations, IRB submissions, and the supervision of students and research assistants
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: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards . For more information about the Department of Government, please visit: https
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inequality; the effect of financial markets on organizations and workers; and the history of industrialization. The selected candidate will develop advanced skills in data management, statistical methods and
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Position Details Position Information Recruitment/Posting Title Post Doctoral Associate Department Chemistry & Chemical Biology Salary Details $63,968 Offer Information The final salary offer may be
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Requisition Id 16140 Overview: We are seeking a Postdoctoral Research Associate who will focus on data center thermal management technologies. This position resides in the Multifunctional
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, mouse genetic, imaging, physiological, behavioral, and optogenetic techniques. For more information about our lab, please go to https://umemorilab.wordpress.com/ . The Research Assistant I will be
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Posting Summary Logo Posting Number RTF00066PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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for this position please submit the following documents, via this Interfolio link: https://apply.interfolio.com/178111 Applications not submitted through Interfolio will not be reviewed. Candidates who do not upload
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Postdoctoral Fellow in Neutrino Astrophysics Position in the School of Physics - Otte Research Group
, or where they are required by Federal, State, or local government contract. More information on these policies can be found here: https://www.usg.edu/policymanual/section6/c2714 Board of Regents Policy
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees