28 structures "https:" "https:" "https:" "https:" "https:" positions at KU LEUVEN in Belgium
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. Diverse inputs, such as product images, OCR text, label images, manuals, and web documents, are to be structured and validated within a product data backbone that supports reuse, repair, refurbishing
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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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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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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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samples. Essential Requirements: Master's degree in Biochemistry, Cell Biology, Molecular or Structural Biology, Biological/Medical Sciences, or a closely related field. Critical thinking and ability
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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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consider the inference of parameters in applications arising from structural mechanics. The research will be carried out in an international team of numerical analysts at NUMA. While the envisaged work is
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. CUSTOM focuses on combining (1) computational tools that allow patient-specific design, (2) additive manufacturing to realize the custom, complex designs and structures and their further postprocessing
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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