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Management (BPM) with emerging technologies such as the Internet of Things (IoT) and real-time analytics, the research will develop new methods and technologies that make sustainability measurable, manageable
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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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, or gas turbines. This project develops robust system and component design methods, an integrated manufacturing platform, and multi-material joining techniques to efficiently produce small-scale
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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 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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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