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research skills, contribute to high-impact projects, and work closely with the PI in a collaborative and supportive environment. Under the direct supervision of Dr. Haojun Yang , the incumbent will perform
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collaborate closely with the PIs, student workers, and a Youth Advisory Group (YAG). This is an ideal position for a scholar with interests at the intersection of games, education, and creative computing who
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for you. We are looking for an ambitious, collaborative and structured person to join our team. In this role, you will take a leading position in advancing the material modelling of brain tissue. Your
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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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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 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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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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several historical, epistemic, and conceptual challenges of herbarium research in light of current digitization trends. BOTLEG will collaborate with botanists and herbarium experts in Central America
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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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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