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project include (but are not limited to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine
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Job Description DTU Space at the Technical University of Denmark invites applications for one Postdoctoral position within the field of early galaxy formation and evolution. Responsibilities and
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apply advanced atmospheric and surface models, and integrate observational and theoretical approaches to study the evolution and climates of small exoplanets. Specific research activities may include
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School of Biological Sciences at the University of Utah. Our current research focuses on the evolution of the mammalian detoxification system and the mechanisms of adaptation to dietary toxins in
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University of Liverpool and collaborators at UCL, you will develop, construct and optimise a plasma-liquid reactor based on an existing plasma source design. The role will combine experimental plasma
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& Planetary Sciences Posting Number req27228 Department Lunar and Planetary Laboratory Department Website Link https://lpl.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position
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ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for Biology
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processes that drive tumor evolution, treatment resistance, and disease progression across multiple cancer types, including breast cancer, lung cancer, glioblastoma, ovarian cancer, and hematologic
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 25 days ago
project include (but are not limited to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine
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-cell models with comparative genomics, genome editing, and neuroscience to connect evolutionary sequence changes to the functions of the brain and placenta. Our goal is to understand how genome evolution