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multiple projects, and deliver at a high level. This work integrates gene therapy, chemical conjugation, and quantitative transport modeling to engineer charge-guided delivery systems for dense, negatively
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About us The Laboratory of Causal Systems Immunology combines large-scale in vivo perturbation experiments, advanced mouse models of immune diseases and causal learning to uncover how genes shape
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skills with the ability to bridge the gap between theoretical models and experimental results. Excellent problem-solving abilities and a methodical, data-driven approach to research. Ability to work
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directions: Long-term Autonomy in Uncertain Environments a. Agentic Planning and Reasoning - Semantic Mission Planning with Foundation Models - Foundation models based task decomposition - Event-driven task re
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community that is driven by its mission, where it will be possible for your work to directly make a difference for society. Benefits Friday afternoons off. Flexibility: our open working model combines remote
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18 Sep 2026 Job Information Organisation/Company KU LEUVEN Research Field Computer science » Informatics Engineering » Biomedical engineering Engineering » Computer engineering Biological sciences
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of foundational and agentic AI models (LLMs, generative AI, RAG-based architectures) for autonomous, context-aware decision-making. Researching and implementing trustworthy human-machine interaction methods
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data
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for research use and eventual integration into offshore engineering design tools. Purpose of the Job The successful candidate will develop and run analytical and computational models of nonlinear waves, floating
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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