Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Stavanger
- University of Inland Norway
- University of South-Eastern Norway
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Nottingham
- University of Nottingham;
- Fundación IMDEA Nanociencia
- INESC TEC
- King Abdullah University of Science and Technology
- National University of Singapore
- Queen's University Belfast
- Universidade de Coimbra
- Universidade do Minho
- University of London
- 4 more »
- « less
-
Field
-
to determine material properties of reclaimed steel. Investigate geometric imperfections, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data
-
documentation must be provided in a Scandinavian language or English. If the attachments exceed 30 MB in total, they must be compressed before uploading. Please note that information about you as an applicant may
-
national and international research communities, dissemination of research, a trial lecture, and a public defence of the thesis. For more information about the PhD education at UiS, please visit our website
-
-state hydrogen storage and compression technologies. A key aspect of the role will be the computational discovery, design, and modelling of metal (complex) hydrides using state-of-the-art atomistic and
-
performing simulations of normal compression, shearing, unload-reload hysteresis and creep. A second Research Fellow will work on the project for a duration of 3 years starting one year after the project
-
30 Jul 2026 Job Information Organisation/Company Universidade de Coimbra Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions
-
applications. For further information visit the UK Visas and Immigration website . Full-Time, Fixed-Term from 1 August 2026 to 31 May 2028. Applications are invited for the post of Research Fellow in Accelerator
-
Sensing (DAS) data processing and compression using ML Physics-driven machine learning for geophysical modeling and inversion Thus, the candidate is expected to have or about to have a PhD in a relevant
-
, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating NDT data, machine learning models
-
30 Jul 2026 Job Information Organisation/Company Universidade do Minho Department Escola de Ciências Research Field Physics Engineering » Other Researcher Profile First Stage Researcher (R1