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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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funding (internationally competitive package) that is renewable for multiple additional 5-year periods, and access to state-of-the-art research and top-notch support core facilities, as well as support to
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
with full salary and core funding (internationally competitive package) that is renewable for multiple additional 5-year periods, and access to state-of-the-art research and top-notch support core
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, nanopores, and ion channels for in vitro bioelectronic applications. The project sits at the interface of protein design and applied technology: the successful candidate will learn and apply state-of-the-art
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, nanopores, and ion channels for in vitro bioelectronic applications. The project sits at the interface of protein design and applied technology: the successful candidate will learn and apply state-of-the-art
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for Structural Biology offers access to state-of-the-art infrastructure including cryo-electron microscopy, X-ray crystallography, NMR spectroscopy, and high-performance computing. The Vorobieva laboratory is an
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for Structural Biology offers access to state-of-the-art infrastructure including cryo-electron microscopy, X-ray crystallography, NMR spectroscopy, and high-performance computing. The Vorobieva laboratory is an
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opportunity to investigate the structural mechanisms that regulate protein kinase function, combining state-of-the-art cryo-electron microscopy, protein biochemistry, and molecular biology within a highly
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metabolomics and enzyme assays, and in combining these approaches to answer new types of biological questions. The postdoc will gain hands-on experience with state-of-the-art mass spectrometry platforms and
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collaboration with the plant scientists and computational biologists at PSB, you will develop solutions to extract information from a wide variety of biological imaging data using state-of-the-art computer vision