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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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our vision on education and research . ASSIGNMENT This position entails a dual role as both professor at the Department of Biomolecular Medicine at the Faculty of Medicine and Health Sciences, and
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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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. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell, regulatory, or multimodal biological data. Support target and mechanism prioritization by integrating
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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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malignancies. What you will do As a postdoctoral researcher, you will: Analyse multiomic long-read and single-cell data from patient samples to develop novel biological insights Contribute to recently funded
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell
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motivated and enthusiastic colleague with strong iPSC experience and disease modelling skills to join our team. About the project The ultimate goal of this project is to develop and apply advanced human iPSC
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expectations are aligned and communication is clear. Prepare and share concise status updates that reflect reality – not theory. Facilitate decision-making and ensure outcomes are documented and followed up