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stellar clusters to infer the distribution of luminous and dark matter as well as to uncover the formation history of these stellar systems. Ready to be part of our team? Your working place: The Department
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languages, program synthesis, probabilistic programming, and programming languages for emerging areas such as quantum computing and AI. Systems, including distributed and operating systems, machine learning
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development, human-computer interaction, data analytics, user experience design, remote monitoring systems, energy optimization algorithms, and environmental impact modeling. Human-centric AI-driven sanitation
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distributed tasks such as inspection of a big geographic area for fires is an important objective of this project. The project aims are to: 1) provide methodological contributions towards intelligent sensing
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flow are significantly increased across various new entities such as distributed energy sources. This will lead to additional information and communications requirements, as well as new information
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the project to have well-distributed data both in space and time. This will ultimately lead to higher quality (more spatially and temporally accurate, complete, precise) 3D models. However due to the complexity