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reinforcement learning. The project will investigate a simulation platform that reproduces the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data
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challenge our students, staff and faculty to maintain such standards and we are delighted to have those join us, who can help us in our pursuits. Learn more about us by visiting our website at https
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evaluation of human-centered artifacts. This would include working on research projects involving assistive technologies for people with visual impairments, personalized learning platforms, and Human-Computer
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astrophysics, cosmology, or a related field completed by the start date; strong programming skills; working knowledge of machine learning applied to astrophysics and cosmology, in particular simulation-based
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 11 days ago
, including GEDI-derived canopy height, vertical structure, and aboveground biomass products. Through this research, the participant will learn to establish metrics for vegetation condition, pre-fire fuel
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The University of Vienna is a cosmopolitan hub for almost 11,000 employees, of whom around 7,700 work in research and teaching. They want to do research and teach at a place that suits their ideas
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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The Faculty of Behavioural and Social Sciences (GMW) excels in research and teaching in the areas of behaviour, thinking, learning, and participation in society. More than 4,500 students and
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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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governance from around the world”. We address questions related to institutional effectiveness and change, governance innovation and complexity as well as learning and adaptation. Empirically, we have a strong