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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
our group at the intersection of statistical methodology, machine learning, and biomedical data science. Our research develops rigorous and interpretable methods for high-dimensional biomedical data
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economic modeling, with interests including improved spatial resolution and machine-learning-enabled approaches for policy analysis. Postdoctoral Position (f/m/d) – Integrated Assessment Modeling (Climate
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for 3 years. The project is conducted in close collaboration with the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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We invite applications for a postdoctoral researcher to join the UMLFF project at the University of Luxembourg. The project aims to develop the next generation of uncertainty-aware machine-learning
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of physics‑informed control of mobile manipulators, data collection from real and simulated machines, and model development and testing in simulated environments. The project offers close collaboration with
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for integrating expert data. Collaboration in the JOSHUA project to incorporate interdisciplinary, domain-specific knowledge into AI-supported crisis early warning and scenario simulation. Participation in PRIF’s
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School of Nanoscience and Nanoengineering (JSNN), is an academic collaboration between North Carolina Agricultural and Technical State University (NC A&T) and The University of North Carolina at Greensboro
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to the Principal Investigator (PI), the researcher will work as part of a cross-functional collaborative team. You will have a strong background in CADD, CUDA and software development. Other duties include: Conduct
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development of new research proposals. In this position, you will collaborate with a highly interdisciplinary team within the University of Minnesota and partner universities. Such collaborations may also