Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- National University of Singapore
- University of Texas at Austin
- Center for Drug Evaluation and Research (CDER)
- Nanyang Technological University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Monash University
- University of North Carolina at Charlotte
- Aarhus University
- Brunel University
- CRANFIELD UNIVERSITY
- Harvard University
- Johns Hopkins Medicine - Laboratory of Human Biomimetics
- NTNU Norwegian University of Science and Technology
- Oslo University Hospital
- Simons Foundation/Flatiron Institute
- University of Agder
- University of Bergen
- University of Birmingham
- University of London
- University of Manchester
- University of Nottingham
- University of Oxford
- University of Science and Technology of China
- University of Sydney
- 15 more »
- « less
-
Field
-
at the University of Manchester, as Research Fellow in Sedimentology, Stratigraphy and CO2 Storage. You will take a leading role in the LobeStore research programme. This joint industry programme aims to characterise
-
highly sought-after expertise in complex subsurface fluid transport, and collaborate directly with leading industry and federal stakeholders. We provide a rigorous, supportive environment designed
-
Positions Application Deadline 3 Aug 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our
-
• Possess at least a PhD degree in relevant fields include Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science
-
UiO/Anders Lien 3rd August 2026 Languages English English English PhD Research Fellow in fluid mechanics of twisted droplet flow Apply for this job See advertisement About the position A PhD
-
• Possess at least a PhD degree in relevant fields such as Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science
-
partners are a part of this project. The ideal candidate would combine strong computational skills with domain knowledge in either acoustics or fluid mechanics, plus demonstrated ability to apply AI/ML
-
: offshore wind turbines, wave tank experiments, fluid-structure interactions, sensors for offshore structural health monitoring, software development, machine learning and advanced AI modelling, and previous
-
science, develop highly sought-after expertise in complex subsurface fluid transport, and collaborate directly with leading industry and federal stakeholders. We provide a rigorous, supportive environment