35 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions at KU LEUVEN
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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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support adaptive and automated process execution.• Extending BPM models, notations, methods, and technologies to enable sustainability-driven decision-making.• Evaluating and validating proposed solutions
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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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BAP-2026-449 Is the Job related to staff position within a Research Infrastructure? No Offer Description In industry, language models are currently being widely experimented with to build, among other
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Number BAP-2026-482 Is the Job related to staff position within a Research Infrastructure? No Offer Description In the last decade, ML models taking inspiration from the brain and biological neurons have
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on the nuclear engineering aspects of flexible reactor operation. The work combines reactor physics, thermal-hydraulics, model reduction, and control design. The main research objectives are: Development of a high
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applications. Develop scalable EMT simulation methodologies for large transmission systems. Investigate model reduction, dynamic equivalencing and network partitioning techniques. Develop parallel and high
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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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PROJECT DESCRIPTION Research aims at developing a wind-farm control emulator by coupling large-eddy simulations and aeroelastic turbine models with meso-scale weather models to run realistic wind-farm
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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