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) and hydraulic observations (e.g. ADCP, water-level signals and water pressure), and the integration of these datasets into structural and hydrodynamic models. You will contribute to the design and
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. Proficiency in hydrodynamic modeling tools (e.g., ANSYS AQWA, OrcaFlex) and finite element analysis software (e.g., Abaqus, ANSYS). Experience with stability and mooring system design. Strong analytical skills
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data from hydrodynamic labs for validation purposes. Apply the AI models to develop an AI-based decision support framework for operability assessment for ships in planned voyages under forecasted
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designed for cutting-edge engineering applications. Additional requirements include proficiency with C++ and parallel programming models, experience developing complex simulation software as part of a
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simulation model for autonomous shipping in restricted waterways. This position offers unique opportunities for collaboration within the Marine Technology Division at Chalmers University of Technology
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support system of senior scientists, supporting their work. Your primary responsibilities will include: Apply and adapt a high-resolution coupled hydrodynamic (GETM) - biogeochemical (ERGOM) model to assess
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to significantly reduce the turnaround time of SRS, thus enabling their use for industrial design processes. By combining state-of-the-art numerical methods and data-driven modelling techniques, the PhD candidate
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, Structural Engineering and Mechanics, Construction, Energy, and Sustainable Infrastructure, Environmental Engineering, and Hydrology and Hydrodynamics. Online programs are offered in Supply Chain
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modelling and simulation, Advanced manufacturing, Additive manufacturing, Aerospace structures, Mechanics of materials, Structural mechanics, Fracture mechanics, Nanomechanics, MEMS and NEMS, Computational
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Dynamics , Condensed Matter Theory , Cosmology , Crystallography , Dark Matter , Data analysis , EIC , Electron Hydrodynamics , electron-positron collisions , electron-proton collisions , Electronic Detector