7 phd-architecture-and-urbanism Postdoctoral positions at National Aeronautics and Space Administration (NASA)
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
moons, as well as in resource-limited mission architectures, including aerial platforms like helicopters on Mars. As planetary exploration increasingly targets challenging terrains and subsurface
-
National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 11 days ago
. Description: NASA Ames seeks a candidate to investigate the application of atmospheric science for impacts on rural-to-urban communities and/or public health. This position will combine NASA Earth observations
-
National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
status Questions about this opportunity? Please email npp@orau.org Qualifications PhD in electrical engineering or a closely related field. Previous laboratory and/or field experience. Experience
-
National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 11 days ago
@orau.org Qualifications The successful applicant should have a PhD in science or engineering discipline with experience in running reacting fluid dynamics simulations. Experience with high fidelity, state
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
PhD in a relevant field such as structural mechanics, heat transfer, numerical optimization, topology optimization, or lattice design. The postdoctoral scholar will be responsible for vigorously
-
National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 11 days ago
EAD card and 2) I-485 or I-589 forms in pending status Questions about this opportunity? Please email npp@orau.org Qualifications Candidate must have a PhD in a related field and experience working with
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk