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of inflammatory diseases, and the VIB Center for AI & Computational Biology , a young, ambitious center whose research groups address biological questions through the lens of AI. About the role We have developed
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screening pipeline, from stem-cell engineering to data analysis Develop and test improvements in single-cell methods and vector design Apply the technology in steady-state and disease settings Analyse
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conditions, by bridging disciplines, from artificial intelligence, microelectronics, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell biology in
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next‑generation sequencing (NGS), quantitative repertoire analysis, and AI‑based structural modeling. The successful candidate will play a central role in extracting biological and structural insight
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next‑generation sequencing (NGS), quantitative repertoire analysis, and AI‑based structural modeling. The successful candidate will play a central role in extracting biological and structural insight
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technologies. VIB Technologies comprises multiple state-of-the-art core facilities, each with a specific technology focus and embedded within the VIB centers in Ghent, Leuven, Antwerp or Brussels. The role
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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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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology. Examples of research topics include
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ambitious PhD candidate to join the Efremov Lab at the VIB Center for Structural Biology (VIB-CSB) as part of the newly funded Marie Skłodowska-Curie Doctoral Network ANA-KIN. This position offers a unique
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Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across