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technologies, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The prospective PhD candidate will work in close cooperation with our current PhD students
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for this position: PhD in Mechanical Engineering, Structural Engineering, Civil Engineering, Industrial Engineering, Machine Learning, Artificial Intelligence, or related fields Expertise in numerical simulation
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teamworking skills. Relevant technical skills include heterogeneous catalysis/chemical reaction engineering, materials characterisation (e.g. thermogravimetric analysis, dielectric property measurements
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Description Duties and responsibilities Research Carrying out vigorous, high-level research into the numerical analysis of high frequency waves. Interfacing with other team members, and full participation in
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. The key responsibilities of this position include: Perform numerical simulation to solve fluid-solid-interaction problems Perform design optimization, especially AI-based generative design Master domain
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imposed timelines/milestones. PhD (or near completion) in Engineering or Applied Science with strong expertise in CFD. Proficiency with open-source engineering software and numerical methods such as FEM
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PhD Research Fellow in Hydrogen Safety:Hydrogen Explosions in Complex Geometries Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close interaction with
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1st September 2025 Languages English English Norsk Nynorsk English PhD Research Fellow in Hydrogen Safety:Hydrogen Explosions in Complex Geometries Apply for this job See advertisement UiB
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, and typically has about 10 PhD students. The group's primary area of research relates to numerical and computational methods for processes associated with porous materials, with a particular emphasis on
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experiments and test candidate therapeutics on leukaemic stem cells isolated from primary patient samples. You will be responsible for carrying out laboratory research, data analysis and presentation of results