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in shaping the future? Researcher 1109 There is a vacancy for a position as researcher in Data-Driven Computational Mechanics for Offshore Wind Energy at Geophysical Institute (GFI). The position is
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affected by precipitating snow. The results can potentially also say something about new measurement techniques for snow. The PhD-candidate is expected to construct an experimental setup capable of measuring
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funded by the FRIPRO Young Talent Programme of the Norwegian Research Council. The project, led by Youxian Li, aims to uncover the mechanisms and biological significance of distinct forms of cancer cell
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– and building on recent advances in foundation models, neural model predictive control, and robotic world models – this PhD project will investigate principles and mechanisms for a shared autonomy
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alloys produced from post-consumer scrap within the RACE project. The research will focus on understanding microstructure–property relationships and corrosion mechanisms in high-scrap aluminium alloys
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of this, computational thermodynamics can be a valuable tool to enhance the design of the process, reduce experimental trials, and increase the yield of the recycling process. Furthermore, it is also crucial for achieving
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our understanding of IAI mechanisms and develop innovative antibacterial biomaterials to improve patient outcomes. Structured around three core scientific pillars—regenerative medicine, biomaterial
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candidate will drive the full experimental pipeline: computationally guided construct design; expression and purification of proteins; structural determination to resolve active-site architecture; activity
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criteria for the position. Preferred selection criteria Background in marine hydrodynamics Experience with experimental hydrodynamics, fluid–structure interaction, renewable energy devices Programming and
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associated with medical implants. Focused on addressing the challenges posed by implant-associated infections (IAIs), SHIELD aims to deepen our understanding of IAI mechanisms and develop innovative