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to work on the design of novel nucleic acid delivery technologies for ex vivo/in vivo CAR-T cell engineering. The postdoc will assist in the development, optimization, characterization and (ex vivo/in vivo
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areas such as project management, reporting, and professional research and innovation practice, in the context of the 3 ECTS course “Soft Skills for Applied Computer Scientists”; You contribute, where
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-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine learning, quantum computing, graph theory, graph-signal processing, and convex/non-convex
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; For this function, our Brussels Humanities, Sciences & Engineering Campus (Elsene) will serve as your home base. 3 - Profile What do we expect from you? You hold a PhD in machine learning, artificial intelligence
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Industrial Engineering and Operations Research. Good technical knowledge of probabilistic models and machine learning Basic knowledge of quality management in the manufacturing industry (e.g., SPC, FMEA, HACCP
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Microeconometrics Strong interest in methodological issues in microeconometrics, machine learning, high-dimensional models Proven ability to autonomously conduct research at a post-doctoral level Proven ability
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machine-verifiable proof (or certificate) of correctness. However, a major limitation of current techniques is that correctness is not proven relative to the human-understandable specification
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knowledge of developing AI-based information systems, such as AI-enabled engagement e.g., agentic AI and AI-enabled insight generation e.g., machine learning analytics in both individual and organizational
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innovation practice, in the context of the 3 ECTS course “Soft Skills for Applied Computer Scientists”; You contribute, where relevant, to senior technical and scientific support in ongoing research projects