282 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" "Mines Paris PSL" positions at Zintellect
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that are facile with computationally efficient, rigorous machine learning for image region identification, demonstrate an understanding of both planetary and scalable computer science, and have publication
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, active geologic processes, vegetation traits, and algal biomass using hyperspectral imagery in the visible and shortwave infrared and multi- or hyperspectral imagery in the thermal IR (https
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capbilities include testing on high altitude balloons. For the past year we have hosted the award-winning Stanford-Brown iGEM team, whose wikis will give additional background in lab activities. http://2011
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of interest include: • Machine learning for classification of astrophysical signals • Artificial intelligence augmentation of spaceborne observatories to reduce data transmission rates • Migration of science
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to learn about their parent planets. We solicit research proposals using the Mid-Atlantic Noble Gas Research Laboratory (MNGRL). Some of our current projects include the early impact history of the Moon
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. Each NPP application needs to specify a sponsor for the proposed research. The applicant should choose as a sponsor the member of the JWST Project Science Team (https://webb.nasa.gov/content/meetTheTeam
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at https://ntl.bts.gov/ntl. Are you interested in learning how to develop a new archival repository into a more discoverable, rich resource for the Department of Transportation? Here is an opportunity
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the galaxy from their sources to the Earth. A developed Monte Carlo computer code is used to study the acceleration process by plasma shocks, while mathematical models have been designed to describe how
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system of the solar interior and the solar atmosphere using a combination of theory, simulation, and data analysis investigations. Theoretical studies and computer modeling of the internal structure
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process governing our universe, it is useful to characterize the similarities and differences of sounds in each heliospheric regime. What can we learn from ``hearing" the nature of energy transfer the Sun