Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Johns Hopkins University
- University of Idaho
- Rutgers University
- ETH Zurich
- Texas A&M University
- University of Texas at Austin
- California Institute of Technology
- Cornell University
- Texas A&M University System
- The Ohio State University
- University of British Columbia
- University of California
- University of Glasgow
- University of Maryland
- University of Minnesota
- Colorado State University
- Curtin University
- Leibniz
- Texas A&M AgriLife
- Texas A&M AgriLife Extension
- The University of Arizona
- The University of Chicago
- University of California, Merced
- University of Delaware
- University of Lincoln
- University of New Mexico
- University of North Carolina at Chapel Hill
- ;
- Auburn University
- Barnard College
- Dallas County Community College District
- Edith Cowan University
- Forschungszentrum Jülich
- George Washington University
- Karlstad University
- McGill University
- National University of Singapore
- Northern Alberta Institute of Technology
- Purdue University
- Rice University
- State University of New York University at Albany
- TTI
- Texas A&M Forest Service
- University of Alaska
- University of California Berkeley
- University of California Davis
- University of California Davis Health System
- University of Colorado
- University of Florida
- University of Illinois at Urbana Champaign
- University of Louisville
- University of Massachusetts
- University of New Hampshire – Main Campus
- University of New South Wales
- University of North Texas at Dallas
- University of Oxford
- University of Pittsburgh
- University of Utah
- Washington State University
- Zintellect
- 50 more »
- « less
-
Field
-
Developer, and GIS Data Specialists to streamline workflows, enhance data quality, and drive efficiency in a fast-paced, cloud-centric environment. The position reports to the data products leader. What We Do
-
, thin sections, and well-logs). Experience with database design, data modeling, and data management systems. Proficiency in programming or scripting languages (e.g., Python, SQL) for data handling and
-
/Spanish) Prior experience in one or more programming languages (e.g. Python, C), GIS/Remote Sensing packages (e.g. ArcGIS, Pix4D, ENVI) and/or statistical packages (e.g. R, Stata) Education and/or
-
experience with computer modelling, (e.g. agent-based modelling), as well as good grasp of machine learning, forecasting techniques, scenario planning, optimisation, Python and GIS. Good knowledge of English
-
technologies (e.g., Python, R, GIS, databases) Relevant experience in data collection, data analysis, and research data management Understanding of the national and international scientific environment and
-
: Python, R, SQL, and ArcGIS; • Excellent knowledge of data science techniques and experience working with the following data formats: tabular, multi-level JSON, GIS, and images; • Excellent written
-
GIS course focused on emerging technologies and analytical techniques in geospatial science. This course will incorporate cutting-edge tools such as Python for GIS, machine learning for remote sensing
-
a working knowledge of several languages such as PostGres, MS Excel, JavaScript, Python, C# and R. It is important for the candidate to be adept with QGIS and PostGIS. The ideal candidate should be
-
issues. The ideal candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and an appetite for engaging in non
-
, Environmental sciences, or a closely related field. Proficiency in programming, particularly in Python, is essential. Knowledge of GIS (QGIS or ArcGIS). Experience working with spatial data, shapefiles, raster