Sort by
Refine Your Search
-
Country
-
Employer
- Cornell University
- FAPESP - São Paulo Research Foundation
- Utrecht University
- Barcelona Supercomputing Center (BSC)
- CMI - Chr. Michelsen Institute
- GFZ Helmholtz-Zentrum für Geoforschung
- Nature Careers
- Scion
- Sveriges Lantbruksuniversitet
- Texas A&M AgriLife Extension
- The Ohio State University
- University of Alaska
- University of Houston
- University of Nevada, Reno
- University of Washington
- Université Toulouse III Paul Sabatier
- 6 more »
- « less
-
Field
-
Postdoctoral Researcher - Remote Sensing & Fuel Moisture Modelling Location: Christchurch or Rotorua location Duration: 2 years Organisation: Scion Research Are you passionate about using satellite
-
ecosystem mapping (e.g. remote sensing, GIS). You have affinity with renewable energy planning, nature-positive transitions, and/or biodiversity governance. You possess excellent analytical and writing skills
-
traps, vegetation plots) and for ecosystem mapping (e.g. remote sensing, GIS). You have affinity with renewable energy planning, nature-positive transitions, and/or biodiversity governance. You possess
-
or abroad, in Soil Science, Remote Sensing, Environmental Sciences, or Pedometrics; - Proven experience in pedometrics, soil remote sensing, predictive soil modeling, soil organic carbon, and data science
-
Nature Careers | Cape Winelands District Municipality, Western Cape | South Africa | about 2 months ago
recognized Ph.D. completed within the last 5 years in remote sensing, environmental monitoring, forest science, or another applicable field, with demonstrable experience in GIS and proficiency in Python and
-
/C++, FORTRAN and/or Python. Experience working with geo-spatial information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software
-
a public research laboratory which aims to better understand the functioning of continental surfaces and their interactions with climate and humans. Remote sensing is heavily used by Cesbio scientists
-
experience in remote sensing and GIS, strong programming skills (Python, R or similar), and an international publication record. Experience with machine learning and cloud computing will be considered an asset
-
contributing to professional growth is highly valued. Applicants with experience in forest or wildlife habitat classification using remotely sensed data will receive special consideration. Duties (%) 10% — With
-
, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python