Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Texas Rio Grande Valley
- University of Bergen
- ;
- University of British Columbia
- University of Leeds
- University of Oslo
- Western Norway University of Applied Sciences
- Harvard University
- Humboldt-Stiftung Foundation
- Monash University
- Nanyang Technological University
- Nature Careers
- Norwegian University of Life Sciences (NMBU)
- Singapore Institute of Technology
- University of South-Eastern Norway
- University of Stavanger
- 6 more »
- « less
-
Field
-
. Office/research environment; some travel and weekend work are required. UTRGV is a distributed institution, which requires presence at multiple locations throughout the Rio Grande Valley. Other This is a
-
to successfully perform all required duties. Office/research environment; some travel and weekend work is required. UTRGV is a distributed institution, which requires presence at multiple locations throughout
-
and weekend work is required. UTRGV is a distributed institution, which requires presence at multiple locations throughout the Rio Grande Valley. Other This is a trainee position subject to a specific
-
. This group uses state-of-the-art Earth observation data and advanced computer techniques to study the Polar regions. We specialise in using Synthetic Aperture Radar (SAR) and altimetry satellite data
-
applications. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and weekend work is required. UTRGV is a distributed institution, which
-
perform all required duties. Office/research environment; some travel and weekend work is required. UTRGV is a distributed institution, which requires presence at multiple locations throughout the Rio
-
, the candidate is expected to contribute to the development of novel workflows for joint inversion of multiple data types (e.g., borehole acoustic or seismic data) in the context of geosteering. The specific tasks
-
PhD project. In addition to electromagnetic geophysics, the candidate is expected to contribute to the development of novel workflows for joint inversion of multiple data types (e.g., borehole acoustic
-
distribution across multiple HSR scenarios. You will work alongside a team of internationally renowned experts in transport and urban planning, including Associate Professor Liton Kamruzzaman, Professor Hai Vu
-
hydrometeorological and climatological) hazards, involving the quantification of effects on individual assets/infrastructure components (e.g., buildings) as well as network-level and distributed-system disruptions; 2