Sort by
Refine Your Search
-
Listed
-
Employer
- U.S. Department of Energy (DOE)
- Stanford University
- Georgia Southern University
- Zintellect
- Argonne
- Princeton University
- Texas A&M AgriLife
- Northeastern University
- University of California
- University of Florida
- University of Maryland
- Villanova University
- Colorado State University
- Duke University
- Georgia State University
- Lawrence Berkeley National Laboratory
- New York University
- Oak Ridge National Laboratory
- Texas A&M University
- The Institute for Data
- University of Kentucky
- University of Maine
- University of Miami
- University of Nevada, Reno
- University of North Carolina at Chapel Hill
- University of South Carolina
- University of Washington
- Washington State University
- Yale University
- 19 more »
- « less
-
Field
-
, benefits and deadlines. To be considered you must apply to each opportunity individually. Connect with ORISE...on the GO! Download the new ORISE GO mobile app in the Apple App Store or Google Play Store
-
or 2025-27 Appointment Start Date: September 1, 2025 Group or Departmental Website: https://dlcl.stanford.edu/ (link is external) How to Submit Application Materials: Google form (link is external) Does
-
: Please submit application via Google form: https://docs.google.com/forms/d/e/1FAIpQLSc1YIua1QQLtecMN8YR6r99U90fXxIE-OdV8ph7J-N_ds5jMg/viewform?usp=header (link is external) Does this position pay above the
-
University & Google DeepMind • A strong consortium of additional theorists and experimentalists working across species as part of SCENE The Tolias Lab fuses large‑scale systems neuroscience with machine
-
. online website or portfolio, Google Scholar, GitHub, Gitlab, Bitbucket, Kaggle, etc.) Cover letter outlining research background and interests and emphasizing why you believe you are a strong fit for this
-
Familiarity with LiDAR data processing, especially GEDI Knowledge of fire ecology and land use change processes Experience with Google Earth Engine or other cloud-based geospatial platforms Experience with
-
models, and empirically test those models with integrated and fused data. Development of data-serving APIs is also part of the work plan and duties for the candidate. The candidate will play a vital role
-
Proficient in platforms/tools/languages such as Python, Matlab, QGIS, Google Earth Engine, version-control, C++ processing large datasets Preferred Qualifications: Experience with transdisciplinary work in
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
tools for data analysis. 4. Computer programing skills for remotely sensed data analysis. 5. Sound knowledge of remote sensing physics. 6. Experience working with ArcGIS Pro and Google Earth Engine
-
battery performance. Relevant publications are available at his Google Scholar page . Applicants do not need to be US citizens. The start date is flexible, with a goal of Summer to early Fall, 2024