Sort by
Refine Your Search
-
Listed
-
Employer
- Stanford University
- U.S. Department of Energy (DOE)
- Georgia Southern University
- Princeton University
- University of Maryland
- University of Miami
- University of North Carolina at Chapel Hill
- University of Virginia
- Villanova University
- Zintellect
- Argonne
- Baylor College of Medicine
- Bowdoin College
- Cornell University
- Georgia State University
- Kentucky State University
- New York University
- Northeastern University
- University of California Berkeley
- University of Dayton
- University of Illinois at Urbana Champaign
- Yale University
- 12 more »
- « less
-
Field
-
-based image analysis and feature extraction, SWAT, Google Earth Engine, ERDAS IMAGINE, ENVI, R, and/or Python. Analytical ability to include geospatial mapping and data analytics skills using ArcGIS Pro
-
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
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours 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
-
Google Cloud Platform (GCP) or Microsoft Azure, and tools like BigQuery, Vertex AI, or Azure ML Studio is a plus. Candidates should also demonstrate strong skills in Python (for ML/NLP tasks) and R
-
: Special Message to Applicants: You can learn more about Professor Xu’s work and the research groups’ activity from links below: Google Scholar Faculty Bio The Environmental Interfacial Chemistry (EIC) Group
-
extensive experience developing electrochemical models and simulating battery performance. Relevant publications are available at his Google Scholar page . Applicants do not need to be US citizens. The start
-
Science and of Surgery at the Yale School of Medicine. Dr. Kuo is experienced in biomedical blockchain and predictive modeling field with 90+ publications and 3,800+ citations in Google Scholar. Dr. Kuo