Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Oregon
- Leibniz
- Nature Careers
- Purdue University
- Texas A&M University
- University of Cincinnati
- University of North Carolina at Chapel Hill
- Missouri University of Science and Technology
- Rutgers University
- Texas A&M AgriLife Extension
- The Ohio State University
- The University of Memphis
- University of Minnesota
- University of Nebraska Medical Center
- University of Oxford
- William and Mary
- ;
- Aarhus University
- Argonne
- Duke University
- Duke University Medical Center
- Durham University
- East Carolina University
- Florida Gulf Coast University
- Florida International University
- Forschungszentrum Jülich
- Harvard University
- Kentucky State University
- Memorial Sloan-Kettering Cancer Center
- NEW YORK UNIVERSITY ABU DHABI
- Ohio University
- Pennsylvania State University
- Stanford University
- TTI
- Technical University of Munich
- The University of Arizona
- University College Cork
- University of Colorado
- University of Dayton
- University of Delaware
- University of Illinois at Urbana Champaign
- University of Kansas Medical Center
- University of Maryland
- University of Nevada, Reno
- University of South Carolina
- University of Southern Denmark
- University of Southern Mississippi
- University of Texas at Austin
- University of Washington
- Utrecht University
- Washington University in St. Louis
- Yale University
- 43 more »
- « less
-
Field
-
hydrologic connectivity metrics. Furthermore, the qualified candidate must possess advanced skills in geocoding, GIS, raster analysis/processing, and the management of large geospatial datasets. Familiarity
-
proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team
-
Strong organizational and time management skills Strong quantitative data analysis skills Experience using administrative child welfare data Experience and skills in GIS Grant-writing experience Additional
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
expertise in children’s environmental health, the built environment, disaster epidemiology, pesticide exposure, endocrine disruptors, air pollution, PFAS exposures, and GIS, as well as other areas. Training
-
expected to have experience in hydrologic/hydraulic modeling and in one or more of the following topics: in situ sensor installation and flood monitoring, GIS & geospatial big data, AI/ML and data science
-
geographic information systems (GIS) and programming languages (e.g. Python, Matlab, R) as well as in advanced statistical methods for analyzing complex ecosystem and environmental datasets. Good knowledge
-
and optimizing the SNI by integrating clinical, economic, and social vulnerability data within a Geographic Information System (GIS)framework. This will involve conducting rigorous quantitative and
-
following software programs (e.g., R, Stata, Python, GIS); Have strong organizational and communication skills. Preferred Qualifications Experience with survey design and impact evaluations in emerging
-
at the time of application is accepted, but Ph.D. is required by the start date. • Candidate must have experience using GIS and remote sensing software and satellite data products in analyzing glacial lakes
-
information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software tools and products. Experience in writing scientific papers and successful