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- University of Oslo
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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- Institute of Chemical Process Fundamentals of the CAS
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Hydrodynamic Water Quality Modelling of Fjord Systems Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education
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related field with a focus on coastal engineering, oceanography, or hydrodynamics. Proficiency in wave modeling software, particularly Delft3D and SWAN. Strong analytical and problem-solving skills
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-A_Tranche-2-Research-Projects-Awarded-Under-CFI-Singapore.pdf ). The primary role involves developing and validating Hydrodynamic models to study performance of integrated floating breakwater and marine
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an opportunity to contribute to a collaborative international research environment. GIANTS is a five-year theoretical and numerical modelling project focused on the late stage of terrestrial planet formation
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sufficiently well understood, and hence there are no good hydrodynamic load models. The purpose of this work is to increase the understanding of longlines with seaweed under sea loads and develop accountable
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. The hydroelastic behavior of the seaweed is not sufficiently well understood, and hence there are no good hydrodynamic load models. The purpose of this work is to increase the understanding of longlines with seaweed
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The Multiphase Reactors Research Group focuses on fundamental transport phenomena in multiphase systems, combining advanced experiments, theoretical modelling, and numerical simulations. Its research aims
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environment. GIANTS is a five-year theoretical and numerical modelling project focused on the late stage of terrestrial planet formation involving giant impacts around the Sun and other stars. The project
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by Supervisor. Job Requirements Master/PhD in Naval Architecture, Ocean Engineering, Marine Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., ANSYS
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for simulation and modeling of wave dynamics, and for uncertainty quantification of extreme events. The project will combine stochastic mathematical models of wave physics with advanced computational methods