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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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Location: Leuven ABOUT THE ROLE VIB is home to world-class science and international talent. In this environment, strong HR expertise goes hand in hand with understanding complexity, building
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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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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