Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- UNIVERSITY OF VIENNA
- Universität Wien
- University of Vienna
- University of Michigan
- University of Oslo
- CRANFIELD UNIVERSITY
- Cranfield University
- University of Alabama, Tuscaloosa
- American University
- Auburn University
- Curtin University
- Nanyang Technological University
- National Laboratory of Energy and Geology
- Northeastern University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Universidade de Coimbra
- University of St Andrews;
- 8 more »
- « less
-
Field
-
relevant to the position. Research Fellow I: PhD from an accredited institution in Agronomy, Crop Science, Soil Science, Agricultural Engineering, Data Science, Remote Sensing, or a closely related field; no
-
, particularly Python; (ii) use of parameter optimization algorithms, particularly PEST and PEST++; (iii) remote sensing applied to the water cycle; and (iv) application of machine learning techniques to spatio
-
project deliverables are met. Any other ad-hoc duties assigned by Supervisor. Job Requirements PhD in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or related disciplines. Strong
-
and remote sensing datasets for model validation. Develop new functionalities in the Community Land Model (CLM) within CESM. Conduct model simulations to investigate how the tropical atmosphere responds
-
for remote sensing and uncertainty estimation. Candidates must have a strong programming background. Requirements: PhD in Computer Science or a related field with a strong emphasis on machine learning
-
of QRI Fellow Mentors can be found here: https://quantum.umich.edu/fellows/ . Open to all quantum science and technology disciplines, including spectroscopy, photonics, devices, sensing, computation
-
the model to constrain future calving losses from the Antarctic Ice Sheet. Candidates are expected to hold a PhD in glaciology or related discipline, including experience of remote sensing and/or numerical
-
with remote sensing applications (e.g., InSAR, thermal IR). Experience in teaching, supervision, or scientific outreach. Please note We do not expect any single applicant to possess all desired
-
based within the Supporting Transition and Employment Pathways Research Lab (STEP; https://step-lab.ssw.umich.edu/ ), an interdisciplinary research group dedicated to advancing disability inclusion by
-
Practical outdoor field experience (e.g., groundwater sampling, instrumentation deployment) in challenging conditions. Experience with remote sensing applications (e.g., InSAR, thermal IR). Experience in