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Data Engineer who will help build and evolve the data foundations that enable reliable reporting, analytics and data-driven decision-making across the organization. About the role As a Data Engineer, you
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for an ICT Data Engineer who will help build and evolve the data foundations that enable reliable reporting, analytics and data-driven decision-making across the organization. About the role As an ICT Data
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gained to improve the sustainability of agriculture and the climate change resilience of crops. We are currently looking for an expert in Computer Vision, Image Analysis and AI to join our team. In
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
will be linked with STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics. STADIUS excels in combining fundamental and applied research. It develops mathematical engineering tools
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analytical and problem-solving skills Motivation to learn computational protein design methods Excellent written and spoken communication skills in English Ability to work both independently and
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collaboration with our wet-lab team and collaborators, you identify and integrate validation data In collaboration with the VIB.AI ML unit, you manage a large codebase containing the harness, interpretation
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, multimodal integration of literature and biological data, and knowledge extraction to support discovery.Collaborate with researchers to identify opportunities where generative AI can accelerate scientific
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in close partnership with the universities in Flanders. The ICT department at VIB ensures that assets, technology, information, and data are managed securely and efficiently. Our focus includes
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experimental design tools. Design, implement, and evaluate LLM-based solutions for scientific text mining, multimodal integration of literature and biological data, and knowledge extraction to support discovery
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, multimodal integration of literature and biological data, and knowledge extraction to support discovery. Collaborate with researchers to identify opportunities where generative AI can accelerate scientific