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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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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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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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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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part of a wide network consisting of other universities, companies and institutions. The student will be able to further develop skills through Ph.D. courses, seminars and international conferences
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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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into conversation with parallel research in Flanders, the project aims to develop a more plural and globally informed understanding of dialogue, highlighting how different religious, cultural, and historical
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Leuven campus at least three days per week, and travel to Antwerp for meetings with the rest of the EMLIT research team at least once every three weeks (a 40-minute train ride). Collaborate with
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conferences and workshops. Work on the Antwerp campus at least three days per week, and travel to Leuven for meetings with the rest of the EMLIT research team at least once every three weeks (a 40-minute train