113 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions in Belgium
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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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, advanced packaging, backside power delivery networks, and chiplet-based architectures require new methodologies to model and optimize system behaviour beyond the traditional chip boundary. You will develop
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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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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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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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collaborate on the GENSCOPE project. Each PhD candidate will develop an independent doctoral dissertation with its own research questions, publications, and expertise, while collaborating with the other PhD
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to conduct research on the interaction between large language models, automated science, and innovation. In this context, large language models can serve both as a tool within the research and as the object