Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Kansas Medical Center
- Nature Careers
- Stony Brook University
- National Aeronautics and Space Administration (NASA)
- Princeton University
- Argonne
- GFZ Helmholtz-Zentrum für Geoforschung
- Japan Agency for Marine-Earth Science and Technology
- Leibniz
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Massachusetts Institute of Technology (MIT)
- National Renewable Energy Laboratory NREL
- SUNY University at Buffalo
- Texas A&M AgriLife Extension
- The University of Iowa
- University of Massachusetts
- Washington State University
- 7 more »
- « less
-
Field
-
. The work involves analysis of numerical dynamo simulations using quantitative metrics derived from the most recent global paleomagnetic reconstructions, and applying data assimilation to recover extreme core
-
quantitative metrics derived from the most recent global paleomagnetic reconstructions, and applying data assimilation to recover extreme core dynamics. Your responsibilities: Assessing data-based models
-
of ocean current (JCOPE) and wave (Wave Watch III) prediction models. Topic 5: Development of atmosphere–ocean data assimilation systems (one–three positions) Establishing an atmosphere–ocean data
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
. Applications to consider extreme events such as floods, droughts, and wildfires are also encouraged. Research topics related to remote sensing data include surface data-assimilation, land surface model and
-
Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757
-
. Depending on the candidate’s interest, this position will focus on at least one of the following areas: (a) developing the technique to improve the prediction of aerosols and traces gases via data
-
resources and warming climate. The ideal candidate will have highly developed skills in any of the following areas: hydrologic and/or water resources modeling, data science and machine learning with strong
-
notebook, prepare publication-quality manuscripts (including figures and tables) and publish in peer-reviewed literature. Read literature articles, develop new ideas, and assimilate the information into his
-
(data assimilation, machine learning, etc.) Writing proposals / securing external research funding Writing and submitting scientific papers Leading a research group Supervising students Participating in
-
Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
and/or issues using discretion; experience with tritium transport modelling, hydrogen in materials, or fusion blanket concepts; familiarity with data assimilation, uncertainty quantification, or large