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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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payroll to appropriate sources and enter directly into Workday, with PI approval. Documents and confirms with PI all salary sourcing for project personnel, including research faculty, postdocs, staff and
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robotic system design, humanoid robot development, manipulation and bimanual manipulation, control, or machine learning for robotics. Excellent project management skills to meet and achieve the expected
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 26 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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23 Oct 2025 Job Information Organisation/Company Adam Mickiewicz University, Poznań Research Field Chemistry » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country
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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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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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Researcher (R2) Positions Postdoc Positions Country Ireland Application Deadline 20 Jan 2026 - 23:45 (Europe/Dublin) Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job funded through
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on the plants Arabidopsis thaliana will generate maps of depolarization, retardance, dichroism, and optical axis azimuth, which will feed machine learning models developed by the project partners to identify