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laboratory regularly introduces and evaluates new technologies, and the successful candidate will therefore also have the opportunity to contribute to the testing, implementation, and optimization of emerging
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to evolve alongside changing technologies and business needs remain equally important. Your responsibilities As an ICT Data Engineer, you will: Engineering & building data solutions Develop and optimize
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to evolve alongside changing technologies and business needs remain equally important. Your responsibilities As a Data Engineer, you will: Engineering & building data solutions Develop and optimize scalable
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
, and full-time scientists. International working experience. You have a thorough knowledge of spoken and written English. The official administrative language at KU Leuven is Dutch. If you do not speak
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at the heart of a renowned Plant Biotechnology campus in Ghent, Belgium. Its mission is to unravel plant biological processes and translate this knowledge into value for society. For over a decade, the VIB Crop
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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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, 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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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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and deep learning techniques. About the role Your role will include: analyzing image-based plant phenotyping datasets (RGB, hyperspectral) designing and optimizing data analysis workflows for automated
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discovery project teams, owning strategy, prioritization, and key go/no-go decisions – from hit finding to early lead optimization, towards valorization Drive the integration of computational