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Field
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, from fundamental theory, laboratory experiments, and detailed numerical simulations, to mesoscale pore network modeling and upscaling to continuum-scale theories that can be applied in application
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-to-event analysis; and statistical machine learning in general. OCBE has numerous collaborations with leading biomedical research groups in Norway and abroad. This PhD position is also embedded in
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HFBK Hamburg. This is reflected not only in the high number of international students — almost 50 % of students have an international background — but also in the numerous exchange programmes
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-trivial software. Solid understanding of algorithms, numerical methods, scientific computing, or machine learning. Ability and motivation to write clean, maintainable and well-tested code. Strong interest
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degree in applied numerical mathematics, computational/theoretical physics, theoretical biology, computer science, or a related discipline; Written and oral proficiency in English, strong scientific
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nanoparticles that generate heat due to energy losses upon periodic alignment along an applied alternating magnetic field. Although numerous nano-objects have been manufactured up to now, the spatial diffusion
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, numerical process simulation, and advanced characterization techniques (synchrotron, TEM, EBSD), will be implemented. The ideal candidate will hold a Master's degree or an engineering degree in Materials
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centre also benefits from numerous state-of-the-art technological platforms, offering access to high-calibre equipment and recognised technical expertise. The PhD thesis will be supervised by Raphaël
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mantle in order to determine if this composition is the same as that of the nebula or the solar wind material. In the project we investigate the degassing processes of magmas experimentally and numerically
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with a background in fluid mechanics or thermal engineering. Given the scope of the research project, a strong interest in both experimental work and numerical modeling is essential. Familiarity with