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. Responsibilities Model Development: Build and train advanced deep learning architectures (e.g., CNNs, Transformers, Generative Models) to decode the regulatory logic of genomic enhancers in GBM
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requirements quality assurance and architecture analysis, as well as downstream verification & validation activities, such as software testing and runtime verification. For further information, you may refer to
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developing software architectures, e.g., for real-time task scheduling and execution. You have prior experience with PLC programming and industrial fieldbus protocols, e.g., EtherCAT adn CANopen. You have a
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. Responsibilities Model Development: Build and train advanced deep learning architectures (e.g., CNNs, Transformers, Generative Models) to decode the regulatory logic of genomic enhancers in GBM and the tumor
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staff position within a Research Infrastructure? No Offer Description → Apply before 04/01/2026 (DD/MM/YYYY) 23:59 (Brussels Time) → Faculty of Engineering and Architecture → Department: EA11