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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 30 days ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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/knowledge of computer science and/or machine learning Interest/knowledge of omics data analysis, gene regulation or structural modeling Proficiency in programming languages such as Python, R and/or C++ as
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developers and many more, that are focused on bringing data, machine learning and statistical modeling into the products that we build for our clients or internal users. The data scientists in INGA furthermore
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(lola.adedokun@uky.edu). More information on benefits can be found here: https://postdoc.uky.edu/current-postdocs/ Skills / Knowledge / Abilities The candidate should have excellent written and oral
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comparative politics/public law, computational text analysis, and supervised machine learning/natural language processing on legal corpora. Postdoc 2: Lawmaking Institutions & Legislative Responsiveness Build a
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research areas especially along two themes: “Platform security and application”s and “Machine learning and security/privacy ”. Our goal is to provide the environment for the successful candidate to mature
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citation record must be focused on AI; or alternatively (B), machine learning engineers with an AI-focused PhD and demonstrated 2-year industry experience in AI development Applicants must have in-depth
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
the group of Dr. Tengfei Li at the University of North Carolina at Chapel Hill. The successful candidate will develop and apply advanced statistical and machine learning methods for infant cognitive
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
for extension based on mutual interest. We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with
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University Chicago, in partnership with members of the Learning Theory team at Google. More information about IDEAL can be found here: https://www.ideal-institute.org/ . The positions will be hosted by