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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
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institution. Detailed information about the program, including admission requirements and placement records, can be found at https://feb.kuleuven.be/ research/PhD/businesseconomics/Business The Department
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The candidate will develop and benchmark zero-shot multimodal fusion models for rare disease prediction, using melanoma as a use case. The project integrates spatial and single-cell multi-omics data with
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competitiveness report (2024), the Flemish Governance Agree-ment 2024–2029, the policy paper ‘Vlaanderen leert’ (2025), the productivity agenda of the Flemish Government (2025), and so on). Developments such as the
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for future transmission systems as systematic, scalable and routinely applicable as RMS-based studies are today. This PhD aims to develop the computational foundations for scalable, automated EMT-based
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– Bacterially Engineered Concrete Lithification aims to develop a new generation of biomineral composites by integrating synthetic microbiology, concrete chemistry, mineralogy and material engineering to develop
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‑situ digital working instructions (DWIs). However, current AR/VR solutions are typically developed as standalone applications, manually authored, and weakly connected to product‑level data. As a result
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the rest of the EMLIT research team at least once every three weeks (a 40-minute train ride). Collaborate with the program’s three supervisors and two other junior researchers in the organization
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with KU Leuven’s guidelines for PhD candidates (https://www.kuleuven.be/personeel/jobsite/en/phd & https://gbiomed.kuleuven.be/english/phd ). •Extensive opportunities for professional development
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.• A specific PhD topic and a developed study design.• PhD training and intensive supervision.• Research infrastructure and training in its use.• Training and guidance in writing scientific papers.• A