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, pluralistic and socially engaged university. Our credo is 'Dare to Think' : we are a haven for courageous thinkers. With one of the most progressive career models for academics in the world, Ghent University
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protein structural insight with hands‑on ML development: adapting and applying state‑of‑the‑art structure prediction and design frameworks, training/fine‑tuning models, and running scalable computational
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state‑of‑the‑art structure prediction and design frameworks, training/fine‑tuning models, and running scalable computational campaigns. Key responsibilities Design and execute in silico protein and
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to biologically meaningful outcomes. The successful candidate will contribute to the application, evaluation, and interpretation of AI models on single-cell biological datasets, while keeping downstream translation
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, evaluation, and interpretation of AI models on single-cell biological datasets, while keeping downstream translation and valorization potential in clear focus. Key responsibilities Apply and evaluate advanced
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multi‑omics data. You will also partner with AI experts to integrate predictive models and advanced analytics into omics workflows. You will work in an expanding team led by Dr. Masoomeh Rahimpour
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colleagues on multi‑omics data integration and analysis. You will also work with AI experts to help implement predictive models that improve guide design and functional genomics workflows. You will join an
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experimental workflows for generating and automating the acquisition of high-quality training datasets for machine learning models. Provide training to students on new technologies, protocols, and best practices