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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month 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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours 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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/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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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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an integrated framework to explore advanced workloads including simulations with in-situ visualization and, possibly, machine learning integration. This work will inform future ALCF platform procurement decisions
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models that include these mechanisms. The postdoc will develop biologically-constrained machine learning–based model discovery pipelines to derive interpretable surrogate ODE/PDE models from simulated ABM
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and Dr. Kuijer, the team includes a senior researcher and consumption corridor expert in Switzerland, and a part-time Postdoc position in the Netherlands. Where to apply Website https
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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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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
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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