14 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at National Aeronautics and Space Administration (NASA)

High Fidelity Modeling of Heating during Entry to the Outer Planets

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 6 days ago

is reproduced in the NASA Ames Electric Arc Shock Tube (EAST) facility, and is used to test models developed to predict the heating mechanisms. The primary models employed are the DPLR computational

Geologic sources of carbonaceous gasses and their impacts on terrestrial ecology

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 9 hours ago

. Description: Geologic sources of carbon dioxide (CO2) and methane (CH4) to the atmosphere are important components of the Earth System, with direct atmospheric impacts and indirect feedbacks to local ecology

NASA Foundation Models for Earth Science (Ecosystems, Biodiversity, Environmental Variable Downscaling)

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 9 hours ago

) incorporating foundation model outputs into traditional ecosystem, biodiversity, and/or ecological conservation models/products, and (3) evaluating the impact and utility of the foundation model in these fields

Remote Sensing from Space: NASA Biodiversity and Ecological Conservation Opportunity with the NASA Earth eXchange (NEX)

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 5 days ago

. Description: The NASA Earth eXchange (NEX) seeks a post-doctoral fellow to conduct biodiversity and ecological conservation research under NASA’s Earth Action framework and in collaboration with the California

Passive Sounding of Solar System Bodies Using Radio Astronomical Sources

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago

for detection, auto-correlation, and depth retrieval; validating signal reflection models through analysis of radar data; and evaluating the performance and limitations of passive sounding in realistic mission

A Next-Generation Wildfire Risk Assessment System: Integrating Satellite Data with Deep Learning Insights

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 9 hours ago

. Our project aims to create a unified wildfire risk index that integrates observations and model data from NASA, including meteorological variables, fuel characteristics, topography, human influences

Stellar and Exoplanet science with the Star-Planet Activity Research CubeSat (SPARCS)

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 9 hours ago

modeling. · Expertise in astronomical data reduction pipelines, high-reliability software systems, and detector calibration is strongly valued. · Excellent written and oral communication skills and the

Advancing Impact Monitoring in the Era of LSST, NEO Surveyor, and ADES

National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 9 hours ago

error modeling and encounter clustering (Sentry) Field of Science: Planetary Science Advisors: Steven Chesley steve.chesley@jpl.nasa.gov (818) 354-9615 Applications with citizens from Designated Countries

Data Science for Satellite Remote Sensing and Earth Science Research

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 17 days ago

learning with physics-based models, and/or improve processing of remotely-sensed Earth Science data. The fellow will be a part of the NASA Earth eXchange (NEX). Current NEX activities include exploiting

Instrument Design & Engineering for the Airborne Meteorological Measurement System

National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 9 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