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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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, electrical or robotics engineering, and have expertise in building camera systems and computer vision. This role also involves working closely with the other members of the team on projects related to plant
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, electrical or robotics engineering, and have expertise in building camera systems and computer vision. This role also involves working closely with the other members of the team on projects related to plant
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(ML) Engineer to join the Machine Learning Expertise Unit at VIB.AI. Your role As an ML Engineer, you will: Develop and deploy ML solutions in close collaboration with researchers across VIB centers
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(ML) Engineer to join the Machine Learning Expertise Unit at VIB.AI. Your role As an ML Engineer, you will: Develop and deploy ML solutions in close collaboration with researchers across VIB centers
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innovations and the biological discoveries they enable Your profile You have: a PhD in engineering, computer science, mathematics or a related field a strong background and proven experience in machine learning
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proteins, with particular interest in lipid transporters, ion channels, and synaptic vesicle transporters. By combining state-of-the-art cryo-electron microscopy (cryo-EM) with biochemical, biophysical and
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communication channels. In addition, you will organize and coordinate scientific, networking and outreach events initiated by both Centers, fostering collaboration, engagement and knowledge exchange within
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manage content for digital communication channels, including the website, social media, newsletters, and press materials. Support scientific events, outreach activities, and
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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