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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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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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different domains and work closely together to support the Center's scientific mission. What you will do Develop and implement the Center's communication activities in alignment with VIB's
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spoken English. Experience in Python and/or R. Experience with Linux and Bash. Experience with bulk, single-cell or single-nucleus RNA-sequencing data. Ability to troubleshoot and resolve
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of neurodegeneration, totaling to over 1,500 human brain samples. Using an array of -omics techniques, e.g. long read DNA sequencing, single nuclei transcriptomics & ATACseq and multi-modal proteomics, the team aims
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initiatives and support their local implementation. Foster effective collaboration and alignment between VIB HR, the center and KU Leuven. Your profile A Master’s degree or equivalent experience, with at least
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sequencing data generation and interpretation Bioinformatics and statistical analysis, to characterize genome evolution, mutation processes, and adaptation patterns The PhD candidate will progressively
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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and