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theoretical analysis, including stability estimates and convergence proofs, to guarantee the reliability of the developed algorithms. Design and execute high-fidelity numerical simulations for PDE-based models
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modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines based on different weather
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). Familiarity with asymptotic and multiscale mathematical analysis methods to ground proof numerical simulations Strong communication skills and ability to work across disciplinary boundaries. Desirable
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partners. The PhD project is focused on quantifying the role of blowing snow in driving accumulation and sublimation in mountainous conditions using numerical models. The simulation of blowing snow in local
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sensing analysis • Strong research background in spatial analysis and geostatistical simulation • Experience in using Python and/or other programming languages • Good oral and written English
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24th March 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Acoustics Apply for this job See advertisement UiB - Knowledge that shapes society UiB shall be among Europe's
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, numerical modelling, data analysis, and interpretation of results. Alongside this, around 30% of the role will involve contributing to publications and actively supporting the development of future research
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frameworks for advanced property prediction and analysis of inorganic disordered materials. Carry out machine-learning based first-principle calculations aimed at advancing the understanding defect-based
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, or computational modelling of complex systems. Proficiency with simulation software (e.g., ANSYS, COMSOL, MATLAB) and numerical analysis methods. Experience in acoustic, structural, and fluid-structure interaction
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and written. Preference will be given to candidates inclined to teamwork and field research, with experience in the chemical analysis of environmental samples, as well as knowledge of numerical methods