Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Cornell University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of New Hampshire – Main Campus
- Aalborg University
- Nature Careers
- Stanford University
- TTI
- Virginia Tech
- Aarhus University
- Aix-Marseille Université
- Chalmers University of Technology
- ETH Zürich
- Emory University
- Leibniz
- MASARYK UNIVERSITY
- Montana State University
- Texas A&M University
- The University of Arizona
- Universitat Autònoma de Barcelona
- University of Lincoln
- University of Lincoln;
- University of Lund
- University of Nevada, Reno
- University of Oregon
- University of Oxford;
- University of Washington
- University of York;
- Univerzita Palackého v Olomouci
- 18 more »
- « less
-
Field
-
record in peer-reviewed international journals Experience with remote sensing, LiDAR, and GIS applications Programming skills in Python Background in LiDAR point-cloud analysis and vegetation structure
-
, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research partners on campus at the UO, with
-
relations, and environmental justice. Position Overview: The successful candidate will contribute to an innovative study that integrates GIS mapping, data analytics, policy analysis, and community-based
-
software (e.g. ArcGIS, QGIS) and coding environments (e.g. Python or R), collaborating across LUMHR themes, and supporting interdisciplinary research activity. Teaching support may be required, up to a
-
University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
effective manipulation of gridded data, such as MATLAB, Python, R, or NCO. Ability to read and do limited modifications of C/C++ model source code. Ability to use Windows or MacOS. Ability to run simulations
-
undergraduate or graduate researchers. · Experience writing research grant applications. · Experience with software such as R, Python, Matlab, and GIS tools · Experience facilitating workshops
-
will lead the programming of R/Python packages for the analysis as well as adapt existing and develop new research methodologies and training materials. You will report research findings in the form
-
Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department
-
impact assessment, or a closely related field. Required Knowledge, Skills, and Abilities Strong analytical and quantitative skills, including statistical programming (e.g., R, Python, or similar
-
programming and strong quantitative skills. Desirable Demonstrated knowledge of advanced biogeographic, comparative, and phylogenetic methods, quantitative methods in biodiversity studies, GIS in R, and spatial