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We are seeking a full-time postdoctoral research assistant in geotechnical engineering to join the Department of Engineering Science in central Oxford. The post is funded by Ørsted, is fixed term
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We are seeking a full-time Postdoctoral Research Assistant to join the Geotechnical research group at the Department of Engineering Science (central Oxford). The post is funded by the US Army and
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
related to staff position within a Research Infrastructure? No Offer Description Description The Research Center SHORES seeks to recruit a Postdoctoral Associate to work in the field of geotechnical
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
related to staff position within a Research Infrastructure? No Offer Description Description The Research Center SHORES seeks to recruit a Postdoctoral Associate to work in the field of geotechnical
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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Resilient Texas (IDRT) in collaboration with the Department of Ocean Engineering and the College of Engineering at Texas A&M University is seeking a highly motivated Postdoctoral Research Associate
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to sustainable geotechnical engineering. ABOUT THE PROJECT The EXCALIBUR project, funded by the Energy Transition Fund of the FPS Economy (Belgium), develops strategies for monopile foundation removal using
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Come and join the Delft Offshore Geotechnics research group and help to solve technical challenges for the energy transition. Job description TU Delft is offering an 18-month postdoctoral position
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a