56 data-"https:" "https:" "https:" "https:" "https:" "KU LEUVEN" positions at VIB in Belgium
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. This research project has a dual focus. On the one hand, you will be involved in analysis of spatial, single-cell and multi-omics data to efficiently characterize the different molecular layers. This will be done
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of publications. Contact information for two references. For more information about our research center https://cmn.sites.vib.be/en For more information about the hiring labs https
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omics data. This interdisciplinary atmosphere has been a main catalyst for many past successes: https://europepmc.org/article/MED/35021063 , https://europepmc.org/article/MED/31819264 , https
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the city of Antwerp, the capital of Flanders, offering a culturally and historically rich, and ethnically diverse environment. For information about the lab https://mancusolab.sites.vib.be/en For information
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at unprecedented resolution. The core innovation of your work will be integrating this data to train deep learning models that predict chromatin accessibility and gene expression patterns. These models will
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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 phenotyping (assessing e.g
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? Motivated candidates are asked to apply online. Additional requirements: Please upload your full CV Please upload a motivation letter Please add the contact details of at least two references More information
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cytometry workflows, from panel design to data interpretation Oversee daily instrument operations, including quality control, maintenance, stock management, and protocol standardization Provide hands
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in close partnership with the five 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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procedures, you will also operate robotic devices, such as automated liquid dispensers, robotic arms… You summarize analyses and interpret data in order to draw conclusions from it You will follow general lab