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operation due to their high sintering rates. In this work, actinide oxide materials with open porous structures with small grain sizes will be attempted to be stabilized at the highest possible temperature
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. This PhD project aims to investigate wind–planet interactions in systems with cool evolved stars, focusing on how stellar outflows shape planetary atmospheric structure, chemistry, and long-term evolution
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estimation, condition evaluation, and state-of-health prediction, as well as technologies for systematically building up product and process knowledge and for structuring this information in Digital Product
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well as documenting and communicating results in a clear and structured manner. You will manage your tasks within defined timelines, report progress regularly to the supervisors, and coordinate efficiently with other
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machine/deep learning toolkits. As a PhD researcher at KU Leuven, I perform research in a structured and scientifically sound manner. I read technical papers, understand the nuances between different
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, such as AI-driven virtual cells (AIVC), while contributing to developing image-based biomarkers (digital pathology) and AI-based structural antibody design. For this task, a large data lake containing
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between both teams. The PhD will be supervised by the PACCAR Chair promoter and co-promoters (https://giving.kuleuven.be/how-to-support/chairs/institutes-cross-group… ), with the final
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and/or the CAD/CAM process is a plus. I am proficient in Python and am familiar with data science and machine/deep learning toolkits. As a PhD researcher at KU Leuven, I perform research in a structured
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range of metamaterial concepts. Building on these tools, the researcher will devise structural optimization strategies to tailor the metamaterial architecture for targeted dynamic performance. The most
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structured, transparent and accurate way. You are a team player and actively share experience and knowledge with colleagues and collaborators. Your networking skills, creativity, persistence and passion