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for academic-related enquiries Prof Dawei Wu, MOL Professor of Maritime Energy Systems [email protected] Email: c/o [email protected] Contact information for technical difficulties when submitting your
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focuses on detecting underwater acoustics using AI methodologies. Additionally, CFD simulations combined with physics-informed machine learning will also be examined. Several research and industrial
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fluid mechanics/theoretical physical oceanography involving surface waves or waves-current interaction is an advantage. Developer experience with programming language such as Fortran, Python, C/C
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the last five years. A minimum of 3 years of experience in (a) design and operation of experimental thermal/fluid systems, (b) mechanical systems and instrumentation, (c) fluid dynamics, combustion, and heat
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. Desirable Demonstrated knowledge/experience in: multiphase flow porous media flow microfluidic fabrication and experiments 3D printing surface chemistry Demonstrated programming skills in: Matlab C++ Python
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
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"embedding" av en tredjepartsplattform på nettstedet for å levere målrettet annonsering. Personvernregler for databehandling: Adform - Personvernregler for databehandling Utløpsdato: én måned Navn: C
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in Python, C++, MATLAB/Simulink, ROS, Gazebo or other simulation and robotics frameworks. Experience with CAD/CAE, CFD, digital twins, embedded systems or experimental data analysis is an asset
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an aerodynamic bird collision avoidance model, combining computational fluid dynamics (CFD) of the flow around wind turbines with the aerodynamic characteristics of flying birds to predict collision risk. This
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method