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, in a PhD degree-awarding study programme offered by a Higher Education Institution. . Minimum profile: Experience in fluid-structure interaction, numerical modeling, dynamic analysis of offshore
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-world engineering problems Experience with CFD, finite element methods, offshore structures and aquaculture would be beneficial but is not essential. What You will Gain This PhD offers you the opportunity
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physics-informed neural networks (PINNs). However, these approaches are still in their early stages of development and have yet to demonstrate their effectiveness for complex real engineering problems
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23 Sep 2026 Job Information Organisation/Company KU LEUVEN Department faculty of engineering science Research Field Computer science » Computer systems Computer science » Database management
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Job description Offshore wind energy is expanding rapidly, with larger turbines, higher power densities, reduced spacing between wind farms, and deployment in deeper waters. These developments
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understanding of how piping develops and help engineers assess and design safer, more reliable flood defence systems. In this PhD project, you will contribute to this challenge by advancing the modelling
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PhD in Computer Science, Software Engineering, or a closely related field (applicants who have submitted their PhD for examination or are near completion may be considered). The technical confidence
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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well as to the geometric optimization of the separator, including the swirl generator. Mandatory requirements PhD in mechanical, naval or aerospace engineering, or a related field. Proven experience in numerical simulation
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31 Jul 2026 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Engineering » Aerospace engineering Researcher Profile Recognised Researcher (R2