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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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of both biology and (agent-driven) software engineering Fluency in written and spoken English Embraces complexity Our offer An interdisciplinary environment spanning wet-lab, technology-development and
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from large‑scale immune repertoire data and in translating these insights into rational, model‑driven prioritization of high‑quality nanobody candidates. Working at the interface of immunology, protein
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from large‑scale immune repertoire data and in translating these insights into rational, model‑driven prioritization of high‑quality nanobody candidates. Working at the interface of immunology, protein
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
of disease and digital twin applications. We also welcome applicants with applied projects, including synthetic biology, AI-driven experiments (experiment-in-the-loop), and bio-engineering. This position comes
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operates in close partnership with the five universities in Flanders. The ICT department at VIB ensures that technology, information, and data are managed securely and efficiently. Our focus includes
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, statistics, or a related field. Strong experience with large language models, including pretraining, fine-tuning, prompt engineering, and evaluation. Knowledge of modern deep learning frameworks (e.g., PyTorch
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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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, and problem-solving skills Programming experience in Python or a similar scientific language Interest in machine learning and data-driven modelling Excellent written and spoken