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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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. While EMT simulation provides the required modelling detail, existing workflows do not scale efficiently to national and regional transmission systems.Our Vision: make EMT-based stability assessment
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machine learning-driven digital twins for predictive combustion modeling. The research program will cover a wide range of e-fuels (H₂, NH₃, CH₃OH, DME, OME) and their applications in industrial furnaces
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, Integrated Sensing and Communications (ISAC), non-terrestrial networks, AI-driven future communication networks, and AI solutions. While imec was founded in 1984 and is today the world’s largest independent
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, and problem-solving skills Programming experience in Python or a similar scientific language Interest in machine learning and data-driven modelling Excellent written and spoken
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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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PhD in Computational Simulations of Turbulent Reaction Flows for Clean Energy and Sustainable Propul
the preparation of a doctorate, contains: Research: The FLOW research group is a young, dynamic group working in the fields of thermodynamics, fluid mechanics, and data-driven modelling. At the Department
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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to detect and respond to emerging respiratory viruses. ANTICIPATE aims to strengthen pandemic preparedness by developing AI-driven tools and epidemiological models to: Detect novel pathogens early through