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into biologically meaningful insights relevant for protein/antibody design in support of VIB’s valorization projects. Train, fine-tune, benchmark and apply state‑of‑the‑art AI methods for protein structure prediction
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single‑cell omics, AI machine learning, and translational biology. The role involves collaboration with academic research group(s), with a strong focus on bridging advanced computational methods
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of VIB’s valorization projects. Train, fine-tune, benchmark and apply state‑of‑the‑art AI methods for protein structure prediction and generative protein design (e.g. AlphaFold, OpenFold, Boltz, Chai
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collaboration with academic research group(s), with a strong focus on bridging advanced computational methods to biologically meaningful outcomes. The successful candidate will contribute to the application
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behavior and circuit integration remains poorly understood. In this project, you will develop and apply spatial transcriptomics methods and combine these with measurements of brain activity and cellular
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on computational methods and AI applications for the CCB community. Stay up to date with state‑of‑the‑art methods in computational biology and AI/ML; evaluate, benchmark, and introduce relevant tools and best
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role in membrane remodeling. It also aims to deepen the mechanistic understanding of solute transport in ion channels and transporters of medical relevance. We apply state of the art methods
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) the development of translational strategies in circuit neuroscience and (4) the development of computational models and methods for neuroscience. The goal is to implement advanced brain-on-chip models and CRISPR
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neuroscience and (4) the development of computational models and methods for neuroscience. The goal is to implement advanced brain-on-chip models and CRISPR-based screens and methodologies to generate
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(https://jobs.vib.be/j/132378/laboratory-technician-neuroprotein-engineering ) and include a detailed CV including list of publications, a motivation letter, and the contact information of at least two