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, amplicon sequencing, full-length 16/ITS sequencing, shotgun metagenomics, single-cell and spatial sequencing and more. Element Biosciences, Illumina, and PacBio are the main sequencing platforms
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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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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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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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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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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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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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to apply a recently published, "proof-of-concept" method for synthetic enhancer design to a critical, real-world clinical challenge. Environment: A stimulating, international research setting in a
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research in the field of artificial intelligence and the development of innovative machine learning methods to address fundamental questions in (bio)medical research. Research topics may, amongst others
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conduct innovative and internationally recognized research in the field of artificial intelligence and the development of innovative machine learning methods to address fundamental questions in (bio)medical