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data and feedback to refine programs and benchmark against best practices. Manage L&D budgets and governance, ensuring cost-effectiveness and compliance with L&D policies. Stay ahead of trends
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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to cutting-edge biomedical questions. Design, implement, and evaluate LLM-based solutions for tasks such as scientific text mining, multimodal integration of literature and biological data, and knowledge
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, geomarketing and data analytics. Impact is key to the group's research and education policy. Our students and researchers each work within their own domain and specialization on a better and more sustainable
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have demonstrated significant success in effectively distilling information from massive datasets. However, their effectiveness is limited by several drawbacks, including being data- and resource
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problems. Provide expertise in modern ML methods, including deep learning, foundation models, multimodal data integration, generative AI, and simulation-based inference. Engage with VIB’s AI Studio
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well as in-situ observations at or near the surface. The development of inverse models for greenhouse gases is planned from 2024 onwards. For more information about the institute, its activities and the
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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medical development are welcome and we might actually recruit two persons with complementary expertise. Additional information may be found in the following selected references: De Strooper, B. & Karran, E